AI in Drug Discovery : Pharmaceuticals : UK

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BrochureDownloadSignup:function(intEventID,strFirstName,strLastName,strEmail,strCompanyName,strTelephoneNumber,blnReceiveInfo,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'BrochureDownloadSignup',false,{intEventID:intEventID,strFirstName:strFirstName,strLastName:strLastName,strEmail:strEmail,strCompanyName:strCompanyName,strTelephoneNumber:strTelephoneNumber,blnReceiveInfo:blnReceiveInfo},succeededCallback,failedCallback,userContext); }, BrochureDownload:function(eventId,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'BrochureDownload',false,{eventId:eventId},succeededCallback,failedCallback,userContext); }, ComplementaryContentDownload:function(eventId,complementaryContentId,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 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SetPaymentMethod:function(strEncryptedString,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'SetPaymentMethod',false,{strEncryptedString:strEncryptedString},succeededCallback,failedCallback,userContext); }, ApplyVoucherCode:function(strWebVoucherCode,strOrderRef,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'ApplyVoucherCode',false,{strWebVoucherCode:strWebVoucherCode,strOrderRef:strOrderRef},succeededCallback,failedCallback,userContext); }, SubmitSpeakerRequest:function(eventId,notListedAbove,howCanWeHelp,organisation,website,title,firstName,surname,email,phone,add,topic,isReturning,heardAboutSmi,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'SubmitSpeakerRequest',false,{eventId:eventId,notListedAbove:notListedAbove,howCanWeHelp:howCanWeHelp,organisation:organisation,website:website,title:title,firstName:firstName,surname:surname,email:email,phone:phone,add:add,topic:topic,isReturning:isReturning,heardAboutSmi:heardAboutSmi},succeededCallback,failedCallback,userContext); }, SubmitAttendRequest:function(eventId,notListedAbove,howCanWeHelp,organisation,website,title,firstName,surname,email,phone,add,isReturning,heardAboutSmi,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'SubmitAttendRequest',false,{eventId:eventId,notListedAbove:notListedAbove,howCanWeHelp:howCanWeHelp,organisation:organisation,website:website,title:title,firstName:firstName,surname:surname,email:email,phone:phone,add:add,isReturning:isReturning,heardAboutSmi:heardAboutSmi},succeededCallback,failedCallback,userContext); }, SubmitSponsorRequest:function(eventId,notListedAbove,isSponsorLead,isSponsorSpeaking,isSponsorExhibit,isSponsorNetworking,isSponsorCoffeeBreak,isSponsorLunch,isSponsorBranding,isSponsorLanyards,organisation,jobtitle,website,title,firstName,surname,email,phone,add,sponsorshipGoals,isReturning,heardAboutSmi,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'SubmitSponsorRequest',false,{eventId:eventId,notListedAbove:notListedAbove,isSponsorLead:isSponsorLead,isSponsorSpeaking:isSponsorSpeaking,isSponsorExhibit:isSponsorExhibit,isSponsorNetworking:isSponsorNetworking,isSponsorCoffeeBreak:isSponsorCoffeeBreak,isSponsorLunch:isSponsorLunch,isSponsorBranding:isSponsorBranding,isSponsorLanyards:isSponsorLanyards,organisation:organisation,jobtitle:jobtitle,website:website,title:title,firstName:firstName,surname:surname,email:email,phone:phone,add:add,sponsorshipGoals:sponsorshipGoals,isReturning:isReturning,heardAboutSmi:heardAboutSmi},succeededCallback,failedCallback,userContext); }, SubmitGDPRConsentRequest:function(eventId,email,giveConsent,name,phone,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'SubmitGDPRConsentRequest',false,{eventId:eventId,email:email,giveConsent:giveConsent,name:name,phone:phone},succeededCallback,failedCallback,userContext); }, SubmitGeneralRequest:function(name,jobTitle,org,phone,email,enquiry,enquiryType,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'SubmitGeneralRequest',false,{name:name,jobTitle:jobTitle,org:org,phone:phone,email:email,enquiry:enquiry,enquiryType:enquiryType},succeededCallback,failedCallback,userContext); }, AuthoriseToken:function(strToken,succeededCallback, failedCallback, userContext) { return this._invoke(this._get_path(), 'AuthoriseToken',false,{strToken:strToken},succeededCallback,failedCallback,userContext); }} PageMethods.registerClass('PageMethods',Sys.Net.WebServiceProxy); PageMethods._staticInstance = new PageMethods(); PageMethods.set_path = function(value) { PageMethods._staticInstance.set_path(value); } PageMethods.get_path = function() { return PageMethods._staticInstance.get_path(); } PageMethods.set_timeout = function(value) { PageMethods._staticInstance.set_timeout(value); } PageMethods.get_timeout = function() { return PageMethods._staticInstance.get_timeout(); } PageMethods.set_defaultUserContext = function(value) { PageMethods._staticInstance.set_defaultUserContext(value); } PageMethods.get_defaultUserContext = function() { return PageMethods._staticInstance.get_defaultUserContext(); } PageMethods.set_defaultSucceededCallback = function(value) { PageMethods._staticInstance.set_defaultSucceededCallback(value); } PageMethods.get_defaultSucceededCallback = function() { return PageMethods._staticInstance.get_defaultSucceededCallback(); } PageMethods.set_defaultFailedCallback = function(value) { PageMethods._staticInstance.set_defaultFailedCallback(value); } PageMethods.get_defaultFailedCallback = function() { return PageMethods._staticInstance.get_defaultFailedCallback(); } PageMethods.set_enableJsonp = function(value) { PageMethods._staticInstance.set_enableJsonp(value); } PageMethods.get_enableJsonp = function() { return PageMethods._staticInstance.get_enableJsonp(); } PageMethods.set_jsonpCallbackParameter = function(value) { PageMethods._staticInstance.set_jsonpCallbackParameter(value); } PageMethods.get_jsonpCallbackParameter = function() { return PageMethods._staticInstance.get_jsonpCallbackParameter(); } PageMethods.set_path("drug-discovery"); PageMethods.InitSession= function(onSuccess,onFailed,userContext) {PageMethods._staticInstance.InitSession(onSuccess,onFailed,userContext); } PageMethods.GetFirstname= function(onSuccess,onFailed,userContext) {PageMethods._staticInstance.GetFirstname(onSuccess,onFailed,userContext); } PageMethods.GetDialingCode= function(intCountryID,onSuccess,onFailed,userContext) {PageMethods._staticInstance.GetDialingCode(intCountryID,onSuccess,onFailed,userContext); } PageMethods.RegisterAccount= function(Username,Password,OptOut,Title,Surname,Firstname,Organisation,JobTitle,Phone,uid,country,onSuccess,onFailed,userContext) {PageMethods._staticInstance.RegisterAccount(Username,Password,OptOut,Title,Surname,Firstname,Organisation,JobTitle,Phone,uid,country,onSuccess,onFailed,userContext); } PageMethods.SaveBasket= function(basket,onSuccess,onFailed,userContext) {PageMethods._staticInstance.SaveBasket(basket,onSuccess,onFailed,userContext); } PageMethods.ResetAccountPassword= function(Username,onSuccess,onFailed,userContext) {PageMethods._staticInstance.ResetAccountPassword(Username,onSuccess,onFailed,userContext); } PageMethods.ChangePassword= function(OldPassword,NewPassword,onSuccess,onFailed,userContext) {PageMethods._staticInstance.ChangePassword(OldPassword,NewPassword,onSuccess,onFailed,userContext); } PageMethods.BrochureDownloadSignup= function(intEventID,strFirstName,strLastName,strEmail,strCompanyName,strTelephoneNumber,blnReceiveInfo,onSuccess,onFailed,userContext) {PageMethods._staticInstance.BrochureDownloadSignup(intEventID,strFirstName,strLastName,strEmail,strCompanyName,strTelephoneNumber,blnReceiveInfo,onSuccess,onFailed,userContext); } PageMethods.BrochureDownload= function(eventId,onSuccess,onFailed,userContext) {PageMethods._staticInstance.BrochureDownload(eventId,onSuccess,onFailed,userContext); } PageMethods.ComplementaryContentDownload= function(eventId,complementaryContentId,onSuccess,onFailed,userContext) {PageMethods._staticInstance.ComplementaryContentDownload(eventId,complementaryContentId,onSuccess,onFailed,userContext); } PageMethods.ConferencePresentationDownload= function(intDownloadTypeID,intDownloadID,intEventID,onSuccess,onFailed,userContext) {PageMethods._staticInstance.ConferencePresentationDownload(intDownloadTypeID,intDownloadID,intEventID,onSuccess,onFailed,userContext); } PageMethods.ProgrammeNotification= function(EventID,onSuccess,onFailed,userContext) {PageMethods._staticInstance.ProgrammeNotification(EventID,onSuccess,onFailed,userContext); } PageMethods.ComplementaryContentDownloadNotification= function(EventID,onSuccess,onFailed,userContext) {PageMethods._staticInstance.ComplementaryContentDownloadNotification(EventID,onSuccess,onFailed,userContext); } PageMethods.SetPaymentMethod= function(strEncryptedString,onSuccess,onFailed,userContext) {PageMethods._staticInstance.SetPaymentMethod(strEncryptedString,onSuccess,onFailed,userContext); } PageMethods.ApplyVoucherCode= function(strWebVoucherCode,strOrderRef,onSuccess,onFailed,userContext) {PageMethods._staticInstance.ApplyVoucherCode(strWebVoucherCode,strOrderRef,onSuccess,onFailed,userContext); } PageMethods.SubmitSpeakerRequest= function(eventId,notListedAbove,howCanWeHelp,organisation,website,title,firstName,surname,email,phone,add,topic,isReturning,heardAboutSmi,onSuccess,onFailed,userContext) {PageMethods._staticInstance.SubmitSpeakerRequest(eventId,notListedAbove,howCanWeHelp,organisation,website,title,firstName,surname,email,phone,add,topic,isReturning,heardAboutSmi,onSuccess,onFailed,userContext); } PageMethods.SubmitAttendRequest= function(eventId,notListedAbove,howCanWeHelp,organisation,website,title,firstName,surname,email,phone,add,isReturning,heardAboutSmi,onSuccess,onFailed,userContext) {PageMethods._staticInstance.SubmitAttendRequest(eventId,notListedAbove,howCanWeHelp,organisation,website,title,firstName,surname,email,phone,add,isReturning,heardAboutSmi,onSuccess,onFailed,userContext); } PageMethods.SubmitSponsorRequest= function(eventId,notListedAbove,isSponsorLead,isSponsorSpeaking,isSponsorExhibit,isSponsorNetworking,isSponsorCoffeeBreak,isSponsorLunch,isSponsorBranding,isSponsorLanyards,organisation,jobtitle,website,title,firstName,surname,email,phone,add,sponsorshipGoals,isReturning,heardAboutSmi,onSuccess,onFailed,userContext) 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Join us for the biggest AI in drug discovery event in the UK, that brings together the highest number of big pharma speakers for focused discussions and networking. </p> <p><br /> With the global AI in drug discovery market expected to reach 7.94 billion by 2030, AI is leading technological advancement across the pharmaceutical sector, and is expected to transform pre-clinical drug discovery. <br />  </p> <p><strong>Are you ready for this transformative period?</strong></p> <p><br /> With ever-increasing pressures on drug pipelines, strategies for faster, cheaper and more successful R&D are required – this conference will showcase how AI-driven technologies are turning these strategies into reality. Through detailed case-study presentations and interactive panel-discussion sessions, we will navigate data volume and quality challenges, create strategies for increasing efficiency of R&D, and explore the impact of generative AI on drug discovery pipelines.</p> <p><br /> This year’s event will feature hot topics including applications of AI/ML within target identification and computational drug design, the impact of generative AI on ways of working and clinical updates from the first AI-designed drug candidates.</p> <p><br /> Our two-day agenda offers you peer-to-peer networking with industry experts from an extensive selection of big pharma and breakthrough biotech’s in the field, including directors and heads of informatics, data & AI, molecular design, and computational chemistry. Don’t miss the chance to hear the latest advancements from leaders in the industry! <br />  </p><p> </p> <p><br />  </p> </div> </div> </div> </div> <div id="speakers"> <h2>FEATURED SPEAKERS</h2> <div id="keynote-slider"> <div class="keynote-speaker"><a href="#pop-speaker-single" class="open-popup-link" ><div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"><img src="/documentportal/speakerimage/225637.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Fabian Heinemann" class="speaker-image" style="width: 100%; height: auto; " /></div></a><div class="speaker-container"><h3><a href="#pop-speaker-single" style="color: #FFF; text-transform:none; font-size: 20px;" class="open-popup-link speaker-name">Fabian Heinemann</a></h3> <div class="speaker-details">Lead of IT Data Science Chapter, Boehringer Ingelheim</div> <div class="speaker-profile hidden"><p>Fabian is heading the IT Data Science Chapter and the Central Data Science EMEA I team within Boehringer Ingelheim. The team explores and develops of AI applications for all functions of the company.</p> <p>Prior to his current role, Fabian served as the head of the Biomedical AI lab at Boehringer Ingelheim’s research organization. His team specialized in the development and application of deep learning-based tools for extracting quantitative information from histological sections, specifically for pharmaceutical research.</p> <p>Fabian's experience includes working as a data scientist at Roche and conducting research at research institutes like the Max-Planck Institute for Biochemistry. His educational background is physics, with specializations in biophysics and theoretical physics. Throughout his career, he has conducted research in various fields, ranging from biophysics, life science, material science, optics, to simulations of biological processes, and most recently applied machine learning<br />  </p></div></div></div><div class="keynote-speaker"><a href="#pop-speaker-single" class="open-popup-link" ><div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"><img src="/documentportal/speakerimage/225748.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Henrik Moebitz" class="speaker-image" style="width: 100%; height: auto; " /></div></a><div class="speaker-container"><h3><a href="#pop-speaker-single" style="color: #FFF; text-transform:none; font-size: 20px;" class="open-popup-link speaker-name">Henrik Moebitz</a></h3> <div class="speaker-details">Director, CADD, Global Discovery Chemistry, Novartis</div> <div class="speaker-profile hidden"><p>Henrik Möbitz is a Director Data Science in Global Discovery Chemistry, CADD. Working at the interface between chemistry, biology and pharmacology, Henrik is keen to utilize computation to drug challenging targets with an emphasis on physicochemical properties and physics-based methods. Since joining Novartis in 2005, Henrik has contributed to 4 clinical compounds and 10 additional DRF/development candidates (most recently the first in class WRN inhibitor HRO761). He currently leads a CADD group in Basel and medicinal chemistry projects.</p></div></div></div><div class="keynote-speaker"><a href="#pop-speaker-single" class="open-popup-link" ><div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"><img src="/documentportal/speakerimage/silhouette_M.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="James Lumley" class="speaker-image" style="width: 100%; height: auto; " /></div></a><div class="speaker-container"><h3><a href="#pop-speaker-single" style="color: #FFF; text-transform:none; font-size: 20px;" class="open-popup-link speaker-name">James Lumley</a></h3> <div class="speaker-details">Head of Cheminformatics, GSK</div> <div class="speaker-profile hidden"><p>James is Head of Cheminformatics at GSK leading a team delivering project support across multiple modalities via the development of proprietary methods, models & platforms for automated design. The team have responsibility for GSK’s validated automated design platform BRADSHAW and the underlying machine learning platform QSAR Studio. His initial career includes 10 years in Biotech as Head of Computational Chemistry, Arrow therapeutics then later as a ReViral Ltd cofounder. He has inventorship on multiple antiviral drug candidates including AZD-7295 and later Sisunatovir (RV521). In 2010 James joined Eli Lilly responsible for global Cheminformatics support. He led projects delivering award winning projects across small molecule research including multiple CIO awards and a BioIT World Innovative Practice Award (Research.Data 2020). James has a PhD in Computational Chemistry and over 25 years experience in drug discovery Research with 4 years at GSK.</p></div></div></div><div class="keynote-speaker"><a href="#pop-speaker-single" class="open-popup-link" ><div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"><img src="/documentportal/speakerimage/225749.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Lewis Vidler" class="speaker-image" style="width: 100%; height: auto; " /></div></a><div class="speaker-container"><h3><a href="#pop-speaker-single" style="color: #FFF; text-transform:none; font-size: 20px;" class="open-popup-link speaker-name">Lewis Vidler</a></h3> <div class="speaker-details">Senior Director - Structure Based Drug Design, Eli Lilly</div> <div class="speaker-profile hidden"></div></div></div><div class="keynote-speaker"><a href="#pop-speaker-single" class="open-popup-link" ><div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"><img src="/documentportal/speakerimage/225747.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Maureen Makes" class="speaker-image" style="width: 100%; height: auto; " /></div></a><div class="speaker-container"><h3><a href="#pop-speaker-single" style="color: #FFF; text-transform:none; font-size: 20px;" class="open-popup-link speaker-name">Maureen Makes</a></h3> <div class="speaker-details">VP Engineering, Recursion</div> <div class="speaker-profile hidden"><p>Maureen Makes is a tech leader currently working to decode biology to radically improve lives at Recursion as VP of Engineering and site lead for the London office. Maureen is passionate about building systems that have a meaningful positive impact on society. Prior to Recursion, Maureen worked to democratize access to higher education and technology learning at Pluralsight and Lambda School. She was also the co-founder of Women Who Code SLC in 2018, Utah Business 40 under Forty in 2023 and Technology Leader of the Year for 2019 by the Women Tech Council.</p></div></div></div><div class="keynote-speaker"><a href="#pop-speaker-single" class="open-popup-link" ><div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"><img src="/documentportal/speakerimage/225898.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Peter Clark" class="speaker-image" style="width: 100%; height: auto; " /></div></a><div class="speaker-container"><h3><a href="#pop-speaker-single" style="color: #FFF; text-transform:none; font-size: 20px;" class="open-popup-link speaker-name">Peter Clark</a></h3> <div class="speaker-details">VP, Computational Drug Design, Novo Nordisk</div> <div class="speaker-profile hidden"></div></div></div> </div> <script> $(window).ready(function () { $("#keynote-slider").owlCarousel({ //autoPlay: 3000, //Set AutoPlay to 3 seconds slideSpeed: 600, pagination: false, navigation: true, navigationText: ["<", ">"], stopOnHover: true, items: 4, itemsDesktop: [1199, 3], itemsDesktopSmall: [979, 3], center: true, loop: true }); }); </script> <div class="row"> <div class="col-md-12 sponsors marg2"> <div class="buttons"> <a id="hlAll" href="#pop-speakers-all" class="open-popup-link button-white">view all speakers</a> </div> </div> </div> <div id="pop-speakers-all" class="white-popup mfp-hide"> <br> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Christoph Grebner</h3> Senior Principal Scientist, Sanofi </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl01_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225799.png?width=200&height=190&bgcolor=white&scale=canvas" alt="Christoph Grebner" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>I am working as a computational chemist in drug design ranging from early hit discovery until lead optimization and candidate selection.<br /> Some of my research topics are deep learning and AI-based methods for drug design processes like property prediction and de novo design.</p> <p>12/2018 – present Senior Principal Scientist; Artificial Intelligence and Computational Chemistry; SMD-IDD, Sanofi-Aventis Deutschland GmbH; (Frankfurt, Germany)<br /> 07/2016 – 11/2018 Senior Scientist Computational Chemistry; AstraZeneca (Hit Discovery, Discovery Sciences iMED), Göteborg, Sweden<br /> 04/2014 – 06/2016 PostDoc in Computational Chemistry: “Novel in silico approaches for modeling the dynamic nature of proteins”; AstraZeneca (Medicinal Chemistry, CVMD iMED), Göteborg, Sweden and Barcelona Supercomputing Center, Spain<br />  </p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Fabian Heinemann</h3> Lead of IT Data Science Chapter, Boehringer Ingelheim </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl02_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225637.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Fabian Heinemann" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Fabian is heading the IT Data Science Chapter and the Central Data Science EMEA I team within Boehringer Ingelheim. The team explores and develops of AI applications for all functions of the company.</p> <p>Prior to his current role, Fabian served as the head of the Biomedical AI lab at Boehringer Ingelheim’s research organization. His team specialized in the development and application of deep learning-based tools for extracting quantitative information from histological sections, specifically for pharmaceutical research.</p> <p>Fabian's experience includes working as a data scientist at Roche and conducting research at research institutes like the Max-Planck Institute for Biochemistry. His educational background is physics, with specializations in biophysics and theoretical physics. Throughout his career, he has conducted research in various fields, ranging from biophysics, life science, material science, optics, to simulations of biological processes, and most recently applied machine learning<br />  </p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Florian Nigsch</h3> Director Data Science, Novartis </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl03_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225882.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Florian Nigsch" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Florian Nigsch currently works in Discovery Sciences at Novartis Biomedical Research where he leads a data science team focused on enabling early drug discovery through multi-disciplinary approaches including a variety of genomics and computational technologies. He has a mixed education in molecular biology and chemistry, holds a Masters degree in Physical and Theoretical Chemistry, Paris/France, and a PhD in Computational Chemistry, Cambridge/UK.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Fred Manby</h3> Co-Founder and CTO, Iambic Therapeutics </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl04_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225372.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Fred Manby" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Fred Manby is a scientist and entrepreneur focused on integration of AI technologies and high-throughput experimentation in small-molecule drug discovery. He received a DPhil in Chemistry from the University of York, and had a prolific 20-year academic career in quantum and computational chemistry, primarily as a Professor at the University of Bristol. In 2020 Fred left his academic role to co-found Iambic Therapeutics, where he is Chief Technology Officer. Iambic is a clinical-stage biopharma which innovates in machine learning and laboratory automation to create technologies that drive an internal pipeline of drug discovery programs, with a primary focus in oncology.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Hannah Bruce Macdonald</h3> Associate Principal Scientist, CHARM Therapeutics </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl05_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225801.png?width=200&height=190&bgcolor=white&scale=canvas" alt="Hannah Bruce Macdonald" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Hannah is a computational chemist and member of the modeling and informatics group at Charm therapeutics. Hannah started her interest in computational modelling during her PhD at the University of Southampton and postdoc at Memorial Sloan Kettering Cancer Center in New York. She then moved to applying these methods to drug discovery at MSD in London, prior to joining Charm in 2022.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Henrik Moebitz</h3> Director, CADD, Global Discovery Chemistry, Novartis </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl06_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225748.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Henrik Moebitz" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Henrik Möbitz is a Director Data Science in Global Discovery Chemistry, CADD. Working at the interface between chemistry, biology and pharmacology, Henrik is keen to utilize computation to drug challenging targets with an emphasis on physicochemical properties and physics-based methods. Since joining Novartis in 2005, Henrik has contributed to 4 clinical compounds and 10 additional DRF/development candidates (most recently the first in class WRN inhibitor HRO761). He currently leads a CADD group in Basel and medicinal chemistry projects.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">James Lumley</h3> Head of Cheminformatics, GSK </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl07_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/silhouette_M.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="James Lumley" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>James is Head of Cheminformatics at GSK leading a team delivering project support across multiple modalities via the development of proprietary methods, models & platforms for automated design. The team have responsibility for GSK’s validated automated design platform BRADSHAW and the underlying machine learning platform QSAR Studio. His initial career includes 10 years in Biotech as Head of Computational Chemistry, Arrow therapeutics then later as a ReViral Ltd cofounder. He has inventorship on multiple antiviral drug candidates including AZD-7295 and later Sisunatovir (RV521). In 2010 James joined Eli Lilly responsible for global Cheminformatics support. He led projects delivering award winning projects across small molecule research including multiple CIO awards and a BioIT World Innovative Practice Award (Research.Data 2020). James has a PhD in Computational Chemistry and over 25 years experience in drug discovery Research with 4 years at GSK.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Kinga Bercsenyi </h3> Chief Business Officer, Arctoris </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl08_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225082.png?width=200&height=190&bgcolor=white&scale=canvas" alt="Kinga Bercsenyi " align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Kinga Bercsenyi, PhD is the Chief Business Officer of Arctoris, a tech-enabled CRO based in Oxford.</p> <p>Kinga completed her PhD at Cancer Research UK, followed by a Sir Henry Wellcome postdoctoral fellowship at King’s College London. She has extensive research experience spanning from early, through preclinical drug discovery, all the way to clinical trials. In her role at Arctoris, she is working tirelessly to support biotech and pharma clients in getting better data, which leads to better decisions and ultimately, better drugs for patients</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Le Mu</h3> Product Line Manager for End-to-End AI/ML, Product Owner and Tech Lead for Roche pRED-MLOps service, Roche </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl09_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225699.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Le Mu" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Having worked 10+ years in digitalization across different industries, Le (Muller) Mu is combining his IT experience with his knowledge in molecular biology to help accelerate the drug discovery process in Roche Pharma Research and Early Development (pRED). He is currently the product line manager for End-to-End AI/ML and product owner and tech lead for the Roche pRED MLOps Service team, driving the operationalization of many different machine learning models, which helps to bring better future medicines faster into the hands of the patients.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Lewis Vidler</h3> Senior Director - Structure Based Drug Design, Eli Lilly </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl10_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225749.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Lewis Vidler" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Lisa Schneider</h3> Machine Learning Scientist, Bayer </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl11_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225828.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Lisa Schneider" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Lisa is a Machine Learning Researcher at Bayer AG, focusing on developing machine learning methods to enhance drug discovery and clinical care. Her research evolves mainly around computer vision and multi-modal applications. Lisa’s academic background includes a Master’s in Digital Engineering and soon a doctoral degree from Charité - University Medicine Berlin.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Marcel Verdonk</h3> Research Fellow, Astex Pharmaceuticals </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl12_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/silhouette_M.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Marcel Verdonk" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Marcel Verdonk is a Research Fellow at Astex Pharmaceuticals. Marcel received his PhD in computational chemistry and crystallography from Utrecht University in 1995. He then spent four years at the Cambridge Crystallographic Data Centre, where he was responsible for the development of various structure-based design tools. Since November 2000, Marcel has been at Astex, where he headed up a group developing informatics, machine learning and structure-based design software applications.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Maureen Makes</h3> VP Engineering, Recursion </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl13_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225747.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Maureen Makes" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Maureen Makes is a tech leader currently working to decode biology to radically improve lives at Recursion as VP of Engineering and site lead for the London office. Maureen is passionate about building systems that have a meaningful positive impact on society. Prior to Recursion, Maureen worked to democratize access to higher education and technology learning at Pluralsight and Lambda School. She was also the co-founder of Women Who Code SLC in 2018, Utah Business 40 under Forty in 2023 and Technology Leader of the Year for 2019 by the Women Tech Council.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Peter Clark</h3> VP, Computational Drug Design, Novo Nordisk </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl14_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225898.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Peter Clark" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Petrina Kamya</h3> President, Insilico Medicine Canada Inc., and Global Head of AI Platforms, VP, Insilico Medicine </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl15_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225750.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Petrina Kamya" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Petrina Kamya, PhD, is the Global Head of AI Platforms and President of Insilico Medicine Canada, overseeing Insilico’s end-to-end generative AI-driven drug discovery platform, Pharma. AI. <br /> Before joining Insilico, Dr. Kamya had a career in Market Access and held several positions at a software company that developed CADD tools for drug discovery and development. <br /> She holds a Ph.D. in theoretical chemistry and a BS in biochemistry from Concordia University.<br />  </p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Prakash Rathi</h3> Augmented Drug Design Engineering Lead, AstraZeneca </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl16_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225347.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Prakash Rathi" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Prakash finished his PhD in computational protein design from University of Dusseldorf in 2014. He then worked at Astex Pharmaceuticals, Cambridge, UK as a scientific software developer. Since Dec 2019 Prakash is working within R&D IT at AstraZeneca where he is currently leading multiple teams building data, AI, and software solutions for small molecule and antibody drug discovery. He has a keen interest in the intersection of science and technology to discover innovative pharmaceuticals.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Ravi Gupta</h3> Advisor - Clinical Data Automation, Data & Analytics, Eli Lilly & Company </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl17_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/226560.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Ravi Gupta" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Ravi Gupta is Advisor in Clinical Data Automation at Eli Lilly & Company, with expertise in the integration of AI, machine learning, and advanced analytics into clinical trial data. With extensive experience in the field, he has spearheaded initiatives to automate data flows, increase efficiency, and provide real-time, data-based decision support. He specializes in automation tool design and using cloud technologies to streamline workflows and enhance data quality. Ravi has been a student at IIM Bangalore and is a strategic leader in bringing data innovations to clinical research and operations</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Steve Gardner</h3> CEO, PrecisionLife </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl18_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225107.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Steve Gardner" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Steve is a pioneer in precision medicine and has over 30 years’ experience developing and commercializing ground-breaking data science in the life sciences, with an established track record in building world-class companies and products.<br /> He is Chair of the UK Bioindustry Association’s Genomic Advisory Committee, Co-Chair of the Metrodora Foundation Scientific Advisory Board, a former Global Director of Research Informatics for Astra A/B and has consulted with drug discovery and development teams in over 20 biopharma companies.<br />  </p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Vladislav Kim</h3> Research Scientist, Bayer </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl19_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225815.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Vladislav Kim" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Vlad, an ML researcher at Bayer, is developing AI-driven computer vision solutions for early-stage drug discovery. Leveraging foundation models for complex bioimaging data, Vlad is working on accelerating target discovery and improving the safety and efficacy profiles of preclinical drug candidates.</p> </div> </div> <div class="row" style="border-bottom: 1px solid #a51142; margin:30px 5px;"> <div class="col-sm-8" style="vertical-align: top"> <h3 style="padding-left: 0; margin: 0">Yogesh Sabnis</h3> Director of Lead Design, UCB Biopharma srl </div> <div class="col-sm-4"> <img id="ctl00_MainContent_ctl04_rptAllSpeakers_ctl20_imgSpeaker" class="img-responsive" src="/documentportal/speakerimage/225370.jpg?width=200&height=190&bgcolor=white&scale=canvas" alt="Yogesh Sabnis" align="right" style="margin:5px 0 20px 0;" /> </div> <div class="col-sm-12"> <p>Yogesh completed his PhD in Synthetic & Computational Chemistry from the University of Mississippi in 2002 and finished post doctorate at Uppsala University, Sweden in 2006. After which, he joined Pfizer where his work was seminal to the discovery of candidate (PF-06263276), toward plaque psoriasis program which went to Phase 1. He joined the Global CADD at UCB in Belgium in 2011 and has since successfully contributed to clinical PET programs ([18F]UCB-K and UCB2897). With the ambition of “Faster to Candidate”, he led the in-house development and implementation of D2P2 (data-driven predictive platform) to enable better decision-making for NCE discovery.</p> </div> </div> <button title="Close (Esc)" type="button" class="mfp-close">×</button> </div> </div> <div style="margin-top:20px;"> <script> $(window).ready(function () { $("#sponsors-slider").owlCarousel({ items: 1, center: true, autoPlay: 3000, //Set AutoPlay to 3 seconds slideSpeed: 600, loop: true }); }); </script> <div id="ctl00_MainContent_sponsorsPartnersScroller_divSponsorsScroller" class="container sponsors-home"> <div class="col-md-12"> <h2> sponsors</h2> <div id="sponsors-slider" class="slider hidden partner-slider"> <div class="sponsor-elem"><a href="#pop-sponsor-single" class="open-popup-link "><img class="sponsor-image" src="/_media/partners/5258.jpg?width=210&height=100" alt="Schrödinger" /></a><div class="hidden sponsor-name">Schrödinger</div><div class="hidden sponsor-link">http://www.schrodinger.com</div><div class="hidden sponsor-profile"><p>Schrödinger is transforming the way therapeutics and materials are discovered. Schrödinger has pioneered a physics-based computational platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is licensed by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Schrödinger’s multidisciplinary drug discovery team also leverages the software platform to advance a portfolio of collaborative and proprietary programs to address unmet medical needs.<p/></div></div> </div>  </div> </div> </div> </div> <div role="tabpanel" class="tab-pane" id="tab_programme"> <div class="programme2"> <script> $(document).ready(function () { $('.streamtabs a').click(function (event) { $(this).tab('show'); var target = $(this).attr('href'); $('html, body').animate({ scrollTop: $(target).offset().top }, 800); event.preventDefault(); return false; }); $('.daylist .nav-tabs > li > a, .daylist2 .nav-tabs > li > a').click(function (event) { var target = $(this).attr('href'); $(target).addClass('active').siblings().removeClass('active'); $('.daylist .nav-tabs .nav-link[href="' + target + '"], .daylist2 .nav-tabs .nav-link[href="' + target + '"]').parent().addClass('active').siblings().removeClass('active'); event.preventDefault(); }); }) function setActiveDay(dayNumber) { $('.daylist .nav-tabs li,.daylist2 .nav-tabs li').removeClass('active'); $('.daylist .nav-tabs li a[href*="#day_' + dayNumber + '"],.daylist2.nav - tabs li a[href *= "#day_' + dayNumber + '"]').parent().addClass('active'); } function updateURL(hash) { if (history.pushState) { history.pushState(null, null, hash); } else { location.hash = hash; } } </script> <h2>Conference agenda</h2> <div role="tabpanel" class="tabpanel"> <div class="daylist"> <ul class="nav nav-tabs" role="tablist" style="width:100%" > <li role="presentation" class="active"><a class="nav-link" href="#day_1" aria-controls="day_1" role="tab" data-toggle="tab" onclick="scrollToPosition(600);">Day one</a></li><li role="presentation" class=""><a class="nav-link" href="#day_2" aria-controls="day_2" role="tab" data-toggle="tab" onclick="scrollToPosition(600);">Day two</a></li> </ul> </div>  <div id="daycontent" class="tab-content"> <div role="tabpanel" class="tab-pane active" id="day_1"><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">8:00</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Registration & Coffee</h3></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">9:00</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Chair's Opening Remarks</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225898.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Peter Clark" /></a></div></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Peter Clark, </strong></span><span class="speaker-details">VP, Computational Drug Design, <strong>Novo Nordisk</strong></span></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">9:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Kick starting ML Projects with minimal data & evolving models for embedded DMTA support</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/silhouette_M.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="James Lumley" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>James Lumley, </strong></span><span class="speaker-details">Head of Cheminformatics, <strong>GSK</strong></span><div class="hidden speaker-profile"><p>James is Head of Cheminformatics at GSK leading a team delivering project support across multiple modalities via the development of proprietary methods, models & platforms for automated design. The team have responsibility for GSK’s validated automated design platform BRADSHAW and the underlying machine learning platform QSAR Studio. His initial career includes 10 years in Biotech as Head of Computational Chemistry, Arrow therapeutics then later as a ReViral Ltd cofounder. He has inventorship on multiple antiviral drug candidates including AZD-7295 and later Sisunatovir (RV521). In 2010 James joined Eli Lilly responsible for global Cheminformatics support. He led projects delivering award winning projects across small molecule research including multiple CIO awards and a BioIT World Innovative Practice Award (Research.Data 2020). James has a PhD in Computational Chemistry and over 25 years experience in drug discovery Research with 4 years at GSK.</p></div><div class="topic-description"> <li>How to kick start an ML project with minimal data</li> <li>Continuous monitoring of data and model drift to improve models</li> <li>Success stories of Active Learning & alternate methods in model evolution</li> <li>Combining ML with Physics based methods</li> <p> </p></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">9:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Leveraging AI in drug discovery - the art of balancing exploration and exploitation </h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225699.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Le Mu" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Le Mu, </strong></span><span class="speaker-details">Product Line Manager for End-to-End AI/ML, Product Owner and Tech Lead for Roche pRED-MLOps service, <strong>Roche</strong></span><div class="hidden speaker-profile"><p>Having worked 10+ years in digitalization across different industries, Le (Muller) Mu is combining his IT experience with his knowledge in molecular biology to help accelerate the drug discovery process in Roche Pharma Research and Early Development (pRED). He is currently the product line manager for End-to-End AI/ML and product owner and tech lead for the Roche pRED MLOps Service team, driving the operationalization of many different machine learning models, which helps to bring better future medicines faster into the hands of the patients.</p></div><div class="topic-description"> <li>The exploration-exploitation dilemma in drug discovery (e.g. discovering novel chemical space v.s. screening through existing compound libraries) also manifest itself when it comes to leveraging the power of AI for accelerating innovation and reducing cost.</li> <li>Supporting exploratory v.s. exploitative activities in the AI/ML space in pharma research requires different technologies and different skillset from people – yet we would need to make sure both types of activities work cohesively to maximize the value</li> <li>Our journey of establishing and growing a MLOps service in Roche pRED in the past 4 years is likely to help to shed some lights on balancing exploration and exploitation in a big pharma research organization</li> <li>Closing reflections on key factors that drive a successful AI strategy in drug discovery, with a focus on mastering the balance between exploration and exploitation across different organizational environments.<br />  </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">10:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Augmenting DMTA using predictive AI modelling at AstraZeneca</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225347.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Prakash Rathi" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Prakash Rathi, </strong></span><span class="speaker-details">Augmented Drug Design Engineering Lead, <strong>AstraZeneca</strong></span><div class="hidden speaker-profile"><p>Prakash finished his PhD in computational protein design from University of Dusseldorf in 2014. He then worked at Astex Pharmaceuticals, Cambridge, UK as a scientific software developer. Since Dec 2019 Prakash is working within R&D IT at AstraZeneca where he is currently leading multiple teams building data, AI, and software solutions for small molecule and antibody drug discovery. He has a keen interest in the intersection of science and technology to discover innovative pharmaceuticals.</p></div><div class="topic-description"> <li>Building data products are key to fully exploit AI in drug discovery</li> <li>We built data and AI solutions to expedite small molecule and antibody discovery at AZ</li> <li>The impact on projects and consequently number of users are growing<br />  </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">10:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Morning Break</h3></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">11:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Schrodinger's latest advancements in in-silico drug design </h3></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">11:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Augmenting target discovery and early drug discovery with AI</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225882.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Florian Nigsch" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Florian Nigsch, </strong></span><span class="speaker-details">Director Data Science, <strong>Novartis</strong></span><div class="hidden speaker-profile"><p>Florian Nigsch currently works in Discovery Sciences at Novartis Biomedical Research where he leads a data science team focused on enabling early drug discovery through multi-disciplinary approaches including a variety of genomics and computational technologies. He has a mixed education in molecular biology and chemistry, holds a Masters degree in Physical and Theoretical Chemistry, Paris/France, and a PhD in Computational Chemistry, Cambridge/UK.</p></div><div class="topic-description"> <li>Criteria for AI-enabled workflows for early drug discovery</li> <li>Levelling up the basic data package for any target, at scale</li> <li>Combining cutting edge AI methods with wet-lab follow-up<br />  </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">12:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Mapping Cardiovascular Health through Multimodal Analysis of UK Biobank Data</h3></div></div></div><div class="keynote-speaker clearfix"><div class="col-xs-2" style="float: left; padding-left:5px"></div><div class="col-xs-10" style="overflow:auto;"><div class="topic-description"> <li>Combining phenotypes from the UK Biobank’s multimodal dataset including cardiac MRI, ECG, and ventricular point cloud data</li> <li>Harnessing unsupervised deep learning models for unbiased extraction and characterization of modality-specific phenotypes</li> <li>Integration of phenotypic information from multiple modalities through contrastive learning.</li> <li>Development of a strategy to uncover novel genetic determinants of heart disease leveraging these holistic phenotypes<br /> <br />  </li> </div></div></p></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225828.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Lisa Schneider" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Lisa Schneider, </strong></span><span class="speaker-details">Machine Learning Scientist, <strong>Bayer</strong></span><div class="hidden speaker-profile"><p>Lisa is a Machine Learning Researcher at Bayer AG, focusing on developing machine learning methods to enhance drug discovery and clinical care. Her research evolves mainly around computer vision and multi-modal applications. Lisa’s academic background includes a Master’s in Digital Engineering and soon a doctoral degree from Charité - University Medicine Berlin.</p></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225815.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Vladislav Kim" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Vladislav Kim, </strong></span><span class="speaker-details">Research Scientist, <strong>Bayer</strong></span><div class="hidden speaker-profile"><p>Vlad, an ML researcher at Bayer, is developing AI-driven computer vision solutions for early-stage drug discovery. Leveraging foundation models for complex bioimaging data, Vlad is working on accelerating target discovery and improving the safety and efficacy profiles of preclinical drug candidates.</p></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">12:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Networking lunch</h3></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">13:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Practical Machine Learning applications for fragment-based drug discovery</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/silhouette_M.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Marcel Verdonk" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Marcel Verdonk, </strong></span><span class="speaker-details">Research Fellow, <strong>Astex Pharmaceuticals</strong></span><div class="hidden speaker-profile"><p>Marcel Verdonk is a Research Fellow at Astex Pharmaceuticals. Marcel received his PhD in computational chemistry and crystallography from Utrecht University in 1995. He then spent four years at the Cambridge Crystallographic Data Centre, where he was responsible for the development of various structure-based design tools. Since November 2000, Marcel has been at Astex, where he headed up a group developing informatics, machine learning and structure-based design software applications.</p></div><div class="topic-description"> <li>Using ML for auto-templated docking in a structure-rich environment</li> <li>Using LLMs for characterisation and clustering of protein-ligand binding sites</li> <li>Discuss integration of the above in Astex’s fragment-based drug discovery platform<br />  </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">14:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Design Principles for Balancing Lipophilicity and Permeability in beyond Rule of 5 Space </h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225748.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Henrik Moebitz" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Henrik Moebitz, </strong></span><span class="speaker-details">Director, CADD, Global Discovery Chemistry, <strong>Novartis</strong></span><div class="hidden speaker-profile"><p>Henrik Möbitz is a Director Data Science in Global Discovery Chemistry, CADD. Working at the interface between chemistry, biology and pharmacology, Henrik is keen to utilize computation to drug challenging targets with an emphasis on physicochemical properties and physics-based methods. Since joining Novartis in 2005, Henrik has contributed to 4 clinical compounds and 10 additional DRF/development candidates (most recently the first in class WRN inhibitor HRO761). He currently leads a CADD group in Basel and medicinal chemistry projects.</p></div><div class="topic-description"> <li>Principals of the beyond the rule of 5 space and applications for PROTAC design</li> <li>Combining computation and measurement to create computationally consistent datasets</li> <li>Designing novel drugs to reach previously undruggable targets</li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">14:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Afternoon Break</h3></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">15:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">AI based technologies for mining chemical space in drug design</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225799.png?width=180&height=180&bgcolor=white&scale=canvas" alt="Christoph Grebner" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Christoph Grebner, </strong></span><span class="speaker-details">Senior Principal Scientist, <strong>Sanofi</strong></span><div class="hidden speaker-profile"><p>I am working as a computational chemist in drug design ranging from early hit discovery until lead optimization and candidate selection.<br /> Some of my research topics are deep learning and AI-based methods for drug design processes like property prediction and de novo design.</p> <p>12/2018 – present Senior Principal Scientist; Artificial Intelligence and Computational Chemistry; SMD-IDD, Sanofi-Aventis Deutschland GmbH; (Frankfurt, Germany)<br /> 07/2016 – 11/2018 Senior Scientist Computational Chemistry; AstraZeneca (Hit Discovery, Discovery Sciences iMED), Göteborg, Sweden<br /> 04/2014 – 06/2016 PostDoc in Computational Chemistry: “Novel in silico approaches for modeling the dynamic nature of proteins”; AstraZeneca (Medicinal Chemistry, CVMD iMED), Göteborg, Sweden and Barcelona Supercomputing Center, Spain<br />  </p></div><div class="topic-description"> <li>Discussing key challenges in AI-based drug design: exploring chemical space, interpretability, data analysis</li> <li>(Large) Language Models in searching and exploring virtual chemical spaces</li> <li>New technologies for interpretation of structure-activity-relationships</li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">15:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">How to make better informed decisions in small molecule drug design</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225370.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Yogesh Sabnis" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Yogesh Sabnis, </strong></span><span class="speaker-details">Director of Lead Design, <strong>UCB Biopharma srl</strong></span><div class="hidden speaker-profile"><p>Yogesh completed his PhD in Synthetic & Computational Chemistry from the University of Mississippi in 2002 and finished post doctorate at Uppsala University, Sweden in 2006. After which, he joined Pfizer where his work was seminal to the discovery of candidate (PF-06263276), toward plaque psoriasis program which went to Phase 1. He joined the Global CADD at UCB in Belgium in 2011 and has since successfully contributed to clinical PET programs ([18F]UCB-K and UCB2897). With the ambition of “Faster to Candidate”, he led the in-house development and implementation of D2P2 (data-driven predictive platform) to enable better decision-making for NCE discovery.</p></div><div class="topic-description"> <li>One of the most significant changes in drug discovery today is the accelerated adoption of digital technologies that is transforming the pharma industry.</li> <li>As this digital revolution gains momentum, one of our strategic priorities at UCB is to fully harness these technologies to boost effectiveness and efficiency of drug discovery. </li> <li>Our ability to bring further innovation to the fingertips of researchers will allow new ways to discover and make medicines in a much shorter time frame than is currently possible. I will share how we have built this framework to help us become better decision makers.<br /> <br />  </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">16:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Panel Discussion: The future of AI-driven drug design </h3></div></div></div><div class="keynote-speaker clearfix"><div class="col-xs-2" style="float: left; padding-left:5px"></div><div class="col-xs-10" style="overflow:auto;"><div class="topic-description"> <li>Reviewing recent advancements in AI-powered target identification and drug design</li> <li>Discussing how to overcome current challenges including trust in AI-derived results, data privacy and quality, and the bias towards positive results seen in datasets</li> <li>Where are we heading? What does the future of AI-designed drugs look like?</li> <li> </li> </div></div></p></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225370.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Yogesh Sabnis" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Yogesh Sabnis, </strong></span><span class="speaker-details">Director of Lead Design, <strong>UCB Biopharma srl</strong></span><div class="hidden speaker-profile"><p>Yogesh completed his PhD in Synthetic & Computational Chemistry from the University of Mississippi in 2002 and finished post doctorate at Uppsala University, Sweden in 2006. After which, he joined Pfizer where his work was seminal to the discovery of candidate (PF-06263276), toward plaque psoriasis program which went to Phase 1. He joined the Global CADD at UCB in Belgium in 2011 and has since successfully contributed to clinical PET programs ([18F]UCB-K and UCB2897). With the ambition of “Faster to Candidate”, he led the in-house development and implementation of D2P2 (data-driven predictive platform) to enable better decision-making for NCE discovery.</p></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/silhouette_M.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Marcel Verdonk" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Marcel Verdonk, </strong></span><span class="speaker-details">Research Fellow, <strong>Astex Pharmaceuticals</strong></span><div class="hidden speaker-profile"><p>Marcel Verdonk is a Research Fellow at Astex Pharmaceuticals. Marcel received his PhD in computational chemistry and crystallography from Utrecht University in 1995. He then spent four years at the Cambridge Crystallographic Data Centre, where he was responsible for the development of various structure-based design tools. Since November 2000, Marcel has been at Astex, where he headed up a group developing informatics, machine learning and structure-based design software applications.</p></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225748.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Henrik Moebitz" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Henrik Moebitz, </strong></span><span class="speaker-details">Director, CADD, Global Discovery Chemistry, <strong>Novartis</strong></span><div class="hidden speaker-profile"><p>Henrik Möbitz is a Director Data Science in Global Discovery Chemistry, CADD. Working at the interface between chemistry, biology and pharmacology, Henrik is keen to utilize computation to drug challenging targets with an emphasis on physicochemical properties and physics-based methods. Since joining Novartis in 2005, Henrik has contributed to 4 clinical compounds and 10 additional DRF/development candidates (most recently the first in class WRN inhibitor HRO761). He currently leads a CADD group in Basel and medicinal chemistry projects.</p></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">16:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Chair's Closing Remarks and Close of Day One</h3></div></div></div></div></div><div role="tabpanel" class="tab-pane" id="day_2"><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">8:30</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Registration & Coffee</h3></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">9:00</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Chair's Opening Remarks</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225747.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Maureen Makes" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Maureen Makes, </strong></span><span class="speaker-details">VP Engineering, <strong>Recursion</strong></span><div class="hidden speaker-profile"><p>Maureen Makes is a tech leader currently working to decode biology to radically improve lives at Recursion as VP of Engineering and site lead for the London office. Maureen is passionate about building systems that have a meaningful positive impact on society. Prior to Recursion, Maureen worked to democratize access to higher education and technology learning at Pluralsight and Lambda School. She was also the co-founder of Women Who Code SLC in 2018, Utah Business 40 under Forty in 2023 and Technology Leader of the Year for 2019 by the Women Tech Council.</p></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">9:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">A data-focused approach to drug discovery</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225747.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Maureen Makes" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Maureen Makes, </strong></span><span class="speaker-details">VP Engineering, <strong>Recursion</strong></span><div class="hidden speaker-profile"><p>Maureen Makes is a tech leader currently working to decode biology to radically improve lives at Recursion as VP of Engineering and site lead for the London office. Maureen is passionate about building systems that have a meaningful positive impact on society. Prior to Recursion, Maureen worked to democratize access to higher education and technology learning at Pluralsight and Lambda School. She was also the co-founder of Women Who Code SLC in 2018, Utah Business 40 under Forty in 2023 and Technology Leader of the Year for 2019 by the Women Tech Council.</p></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">9:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Advances in Computational Approaches to Accelerate Therapeutic Discovery & Development</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225898.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Peter Clark" /></a></div></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Peter Clark, </strong></span><span class="speaker-details">VP, Computational Drug Design, <strong>Novo Nordisk</strong></span><div class="topic-description"> <li>Molecular design & optimization in the age of AI</li> <li>Strategies and impact on for integrating AI into the drug discovery process- updates and advancements from Novo Nordisk</li> <li>Reviewing the current state of the industry - challenges and future perspectives<br />  </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">10:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">The Increasing Role of Lab Automation Beyond Screening: Maximizing Machine Learning Utility in Drug Discovery with Enhanced Data Generation</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225082.png?width=180&height=180&bgcolor=white&scale=canvas" alt="Kinga Bercsenyi " /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Kinga Bercsenyi , </strong></span><span class="speaker-details">Chief Business Officer, <strong>Arctoris</strong></span><div class="hidden speaker-profile"><p>Kinga Bercsenyi, PhD is the Chief Business Officer of Arctoris, a tech-enabled CRO based in Oxford.</p> <p>Kinga completed her PhD at Cancer Research UK, followed by a Sir Henry Wellcome postdoctoral fellowship at King’s College London. She has extensive research experience spanning from early, through preclinical drug discovery, all the way to clinical trials. In her role at Arctoris, she is working tirelessly to support biotech and pharma clients in getting better data, which leads to better decisions and ultimately, better drugs for patients</p></div><div class="topic-description"> <li>Recently, the rise of AI/ ML for drug discovery has put a clear and increasing focus on the need for improved data depth and data quality as key factors for successful AI/ ML applications.</li> <li>On the other hand, laboratory automation for the longest time has primarily been associated with high-throughput screening applications for hit identification.</li> <li>This is changing rapidly, as the talk will show: based on a brief introduction into the evolution of the AI/ ML and lab automation space over the past 10 years, the focus will be on the unique synergy between the two technologies, including the rationale, case studies, and the latest trends in utilizing lab automation as a key enabling technology for AI drug discovery.</li> <li><br />  </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">10:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Morning Break</h3></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">11:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Transcending data scarcity in AI-driven drug discovery</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225372.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Fred Manby" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Fred Manby, </strong></span><span class="speaker-details">Co-Founder and CTO, <strong>Iambic Therapeutics</strong></span><div class="hidden speaker-profile"><p>Fred Manby is a scientist and entrepreneur focused on integration of AI technologies and high-throughput experimentation in small-molecule drug discovery. He received a DPhil in Chemistry from the University of York, and had a prolific 20-year academic career in quantum and computational chemistry, primarily as a Professor at the University of Bristol. In 2020 Fred left his academic role to co-found Iambic Therapeutics, where he is Chief Technology Officer. Iambic is a clinical-stage biopharma which innovates in machine learning and laboratory automation to create technologies that drive an internal pipeline of drug discovery programs, with a primary focus in oncology.</p></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">11:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Custom AI applications for quantitative histopathology in pharmaceutical research</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225637.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Fabian Heinemann" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Fabian Heinemann, </strong></span><span class="speaker-details">Lead of IT Data Science Chapter, <strong>Boehringer Ingelheim</strong></span><div class="hidden speaker-profile"><p>Fabian is heading the IT Data Science Chapter and the Central Data Science EMEA I team within Boehringer Ingelheim. The team explores and develops of AI applications for all functions of the company.</p> <p>Prior to his current role, Fabian served as the head of the Biomedical AI lab at Boehringer Ingelheim’s research organization. His team specialized in the development and application of deep learning-based tools for extracting quantitative information from histological sections, specifically for pharmaceutical research.</p> <p>Fabian's experience includes working as a data scientist at Roche and conducting research at research institutes like the Max-Planck Institute for Biochemistry. His educational background is physics, with specializations in biophysics and theoretical physics. Throughout his career, he has conducted research in various fields, ranging from biophysics, life science, material science, optics, to simulations of biological processes, and most recently applied machine learning<br />  </p></div><div class="topic-description"><p>• AI to automate tasks, which were previously limited to pathologists. Examples will include <br />       o Quantifying histopathological parameters of non-alcoholic steatohepatitis (NASH)<br />       o Quantifying parameters of lung fibrosis.<br /> • Applications with unsupervised and generative methods. <br />      o An algorithm for anomaly detection in histopathological images will be presented which can support early tox assessment. <br />      o Approaches using generative adversarial networks to convert histological stains that generate virtual stains that can be indistinguishable for pathologists.<br />  </p></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">12:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Evolving virtual assistants using Large Language Models</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225749.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Lewis Vidler" /></a></div></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Lewis Vidler, </strong></span><span class="speaker-details">Senior Director - Structure Based Drug Design, <strong>Eli Lilly</strong></span><div class="topic-description"> <li>Early efforts here involved using expert systems to deliver a virtual assistant like experience to users</li> <li>We were able to generate successful POC in medicinal chemistry</li> <li>The advent of LLMs has massively increased the opportunities for virtual agents to provide value to users</li> <li>The philosophy, historical work and current/future directions in this space will be described<br />  </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">12:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Networking Lunch</h3></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">13:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">AI-driven prediction of protein-ligand co-folding for discovery of transformational medicines</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225801.png?width=180&height=180&bgcolor=white&scale=canvas" alt="Hannah Bruce Macdonald" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Hannah Bruce Macdonald, </strong></span><span class="speaker-details">Associate Principal Scientist, <strong>CHARM Therapeutics</strong></span><div class="hidden speaker-profile"><p>Hannah is a computational chemist and member of the modeling and informatics group at Charm therapeutics. Hannah started her interest in computational modelling during her PhD at the University of Southampton and postdoc at Memorial Sloan Kettering Cancer Center in New York. She then moved to applying these methods to drug discovery at MSD in London, prior to joining Charm in 2022.</p></div><div class="topic-description"> <li>DragonFold – an end-to-end deep learning algorithm for 3D protein-ligand co-folding prediction</li> <li>Validation of AI-targets in an integrative loop</li> <li>Updates on novel AI-derived drug candidates for cancers and previously undruggable targets</li> <li> </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">14:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Causal AI & Mechanostics - Increasing Probability of R&D Success from Concept to Clinic</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225107.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Steve Gardner" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Steve Gardner, </strong></span><span class="speaker-details">CEO, <strong>PrecisionLife</strong></span><div class="hidden speaker-profile"><p>Steve is a pioneer in precision medicine and has over 30 years’ experience developing and commercializing ground-breaking data science in the life sciences, with an established track record in building world-class companies and products.<br /> He is Chair of the UK Bioindustry Association’s Genomic Advisory Committee, Co-Chair of the Metrodora Foundation Scientific Advisory Board, a former Global Director of Research Informatics for Astra A/B and has consulted with drug discovery and development teams in over 20 biopharma companies.<br />  </p></div><div class="topic-description"> <li>Discovering, developing, and launching AI driven precision medicines for complex, chronic diseases</li> <li>Creating better diagnostic tools and more personalized treatment options for unmet medical needs</li> <li>Improving the discovery and selection of novel targets matched to patient biology</li> <li>Informing the design of clinical trials that are faster to readout and more likely to succeed</li> <li>Linking patients to effective treatments via their mechanism of disease<br /> <br />  </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">14:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Afternoon Break</h3></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">15:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">An end-to-end AI platform for novel drug discovery</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225750.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Petrina Kamya" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Petrina Kamya, </strong></span><span class="speaker-details">President, Insilico Medicine Canada Inc., and Global Head of AI Platforms, VP, <strong>Insilico Medicine </strong></span><div class="hidden speaker-profile"><p>Petrina Kamya, PhD, is the Global Head of AI Platforms and President of Insilico Medicine Canada, overseeing Insilico’s end-to-end generative AI-driven drug discovery platform, Pharma. AI. <br /> Before joining Insilico, Dr. Kamya had a career in Market Access and held several positions at a software company that developed CADD tools for drug discovery and development. <br /> She holds a Ph.D. in theoretical chemistry and a BS in biochemistry from Concordia University.<br />  </p></div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">15:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Unlocking AI's Potential in Clinical Trial Data: Innovations and Use Cases</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/226560.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Ravi Gupta" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Ravi Gupta, </strong></span><span class="speaker-details">Advisor - Clinical Data Automation, Data & Analytics, <strong>Eli Lilly & Company</strong></span><div class="hidden speaker-profile"><p>Ravi Gupta is Advisor in Clinical Data Automation at Eli Lilly & Company, with expertise in the integration of AI, machine learning, and advanced analytics into clinical trial data. With extensive experience in the field, he has spearheaded initiatives to automate data flows, increase efficiency, and provide real-time, data-based decision support. He specializes in automation tool design and using cloud technologies to streamline workflows and enhance data quality. Ravi has been a student at IIM Bangalore and is a strategic leader in bringing data innovations to clinical research and operations</p></div><div class="topic-description"> <li>Introduction: How AI revolutionizes clinical trials with enhanced insights, efficiency, and speed.</li> <li>AI in Trials: Real-time analysis, streamlined processes, and faster drug development.</li> <li>Use Cases: Predictive models, automated data management, and statistical support.</li> <li>Challenges: Tackling data quality, integration, and ethical issues.</li> <li>Future: The evolving role of AI in transforming clinical trials. <p> </p> </li> </div></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">16:10</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Closing keynote panel: Will AI live up to the current hype?</h3></div></div></div><div class="keynote-speaker clearfix"><div class="col-xs-2" style="float: left; padding-left:5px"></div><div class="col-xs-10" style="overflow:auto;"><div class="topic-description"> <li>How far have we come – what are the major breakthroughs in the past year?</li> <li>What challenges remain to fully integrate AI into drug discovery processes?</li> <li>Discussing the issues of ethical concerns, data privacy, and regulatory barriers</li> <li>How far do we have to go – future looking perspectives on where the industry is headed.<br />  </li> </div></div></p></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225372.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Fred Manby" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Fred Manby, </strong></span><span class="speaker-details">Co-Founder and CTO, <strong>Iambic Therapeutics</strong></span><div class="hidden speaker-profile"><p>Fred Manby is a scientist and entrepreneur focused on integration of AI technologies and high-throughput experimentation in small-molecule drug discovery. He received a DPhil in Chemistry from the University of York, and had a prolific 20-year academic career in quantum and computational chemistry, primarily as a Professor at the University of Bristol. In 2020 Fred left his academic role to co-found Iambic Therapeutics, where he is Chief Technology Officer. Iambic is a clinical-stage biopharma which innovates in machine learning and laboratory automation to create technologies that drive an internal pipeline of drug discovery programs, with a primary focus in oncology.</p></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225747.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Maureen Makes" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Maureen Makes, </strong></span><span class="speaker-details">VP Engineering, <strong>Recursion</strong></span><div class="hidden speaker-profile"><p>Maureen Makes is a tech leader currently working to decode biology to radically improve lives at Recursion as VP of Engineering and site lead for the London office. Maureen is passionate about building systems that have a meaningful positive impact on society. Prior to Recursion, Maureen worked to democratize access to higher education and technology learning at Pluralsight and Lambda School. She was also the co-founder of Women Who Code SLC in 2018, Utah Business 40 under Forty in 2023 and Technology Leader of the Year for 2019 by the Women Tech Council.</p></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225750.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Petrina Kamya" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Petrina Kamya, </strong></span><span class="speaker-details">President, Insilico Medicine Canada Inc., and Global Head of AI Platforms, VP, <strong>Insilico Medicine </strong></span><div class="hidden speaker-profile"><p>Petrina Kamya, PhD, is the Global Head of AI Platforms and President of Insilico Medicine Canada, overseeing Insilico’s end-to-end generative AI-driven drug discovery platform, Pharma. AI. <br /> Before joining Insilico, Dr. Kamya had a career in Market Access and held several positions at a software company that developed CADD tools for drug discovery and development. <br /> She holds a Ph.D. in theoretical chemistry and a BS in biochemistry from Concordia University.<br />  </p></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225898.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Peter Clark" /></a></div></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Peter Clark, </strong></span><span class="speaker-details">VP, Computational Drug Design, <strong>Novo Nordisk</strong></span></div></div></div><div class="event agenda-box row" style="background-color:#fff;"><div class="row no-gutter" style="background-color:#08478c;"><div class="col-xs-12"><div class="col-xs-2" style="padding-left:0"><div class="col-xs-12 col-sm-6" style="padding-left:0"><img src="/_images/newsite/clock.png" alt="clock" ></div><div class="col-xs-12 col-sm-6" style="padding-left:5px"><h3 style="color:#fff;">16:40</h3></div></div> <div class="col-xs-10 text-right"><h3 style="color:#fff;">Chair's Closing Remarks and Close of Day 2</h3></div></div></div><div class="keynote-speaker"><div class="col-xs-2" ><div class="row" style="background-color:#fff;"><div class="col-xs-12 speaker-image-circle"><a href="#pop-speaker-single" class="open-popup-link"><img class="speaker-image img-responsive" src="/documentportal/speakerimage/225747.jpg?width=180&height=180&bgcolor=white&scale=canvas" alt="Maureen Makes" /></a></a></div><div class="col-xs-12 speaker-bio text-center"><a href="#pop-speaker-single" class="open-popup-link">View Bio</a></div><br/></div></div><div class="col-xs-10" style="overflow:auto;"><p><span class="speaker-name"><strong>Maureen Makes, </strong></span><span class="speaker-details">VP Engineering, <strong>Recursion</strong></span><div class="hidden speaker-profile"><p>Maureen Makes is a tech leader currently working to decode biology to radically improve lives at Recursion as VP of Engineering and site lead for the London office. Maureen is passionate about building systems that have a meaningful positive impact on society. Prior to Recursion, Maureen worked to democratize access to higher education and technology learning at Pluralsight and Lambda School. She was also the co-founder of Women Who Code SLC in 2018, Utah Business 40 under Forty in 2023 and Technology Leader of the Year for 2019 by the Women Tech Council.</p></div></div></div></div></div> </div>  <div class="daylist2"> <ul class="nav nav-tabs" role="tablist" > <li role="presentation" class="active"><a class="nav-link" href="#day_1" aria-controls="day_1" role="tab" data-toggle="tab" onclick="scrollToPosition(600);">Day one</a></li><li role="presentation" class=""><a class="nav-link" href="#day_2" aria-controls="day_2" role="tab" data-toggle="tab" onclick="scrollToPosition(600);">Day two</a></li> </ul> </div> </div> </div> </div> <div role="tabpanel" class="tab-pane" id="tab_speakers"> <div id="speaker-grid"> <div id="pop-speakers-all" class="container-fluid" style="margin-bottom: 20px;"> <br> <div class="row"> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl01_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225799.png?width=250&height=250&bgcolor=white&scale=canvas" alt="Christoph Grebner" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Christoph Grebner</a></div> <div style="margin-top:5px"">Senior Principal Scientist</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Sanofi</div> <div class="hidden speaker-details">Senior Principal Scientist, Sanofi</div> <div class="hidden speaker-profile"><p>I am working as a computational chemist in drug design ranging from early hit discovery until lead optimization and candidate selection.<br /> Some of my research topics are deep learning and AI-based methods for drug design processes like property prediction and de novo design.</p> <p>12/2018 – present Senior Principal Scientist; Artificial Intelligence and Computational Chemistry; SMD-IDD, Sanofi-Aventis Deutschland GmbH; (Frankfurt, Germany)<br /> 07/2016 – 11/2018 Senior Scientist Computational Chemistry; AstraZeneca (Hit Discovery, Discovery Sciences iMED), Göteborg, Sweden<br /> 04/2014 – 06/2016 PostDoc in Computational Chemistry: “Novel in silico approaches for modeling the dynamic nature of proteins”; AstraZeneca (Medicinal Chemistry, CVMD iMED), Göteborg, Sweden and Barcelona Supercomputing Center, Spain<br />  </p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl02_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225637.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Fabian Heinemann" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Fabian Heinemann</a></div> <div style="margin-top:5px"">Lead of IT Data Science Chapter</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Boehringer Ingelheim</div> <div class="hidden speaker-details">Lead of IT Data Science Chapter, Boehringer Ingelheim</div> <div class="hidden speaker-profile"><p>Fabian is heading the IT Data Science Chapter and the Central Data Science EMEA I team within Boehringer Ingelheim. The team explores and develops of AI applications for all functions of the company.</p> <p>Prior to his current role, Fabian served as the head of the Biomedical AI lab at Boehringer Ingelheim’s research organization. His team specialized in the development and application of deep learning-based tools for extracting quantitative information from histological sections, specifically for pharmaceutical research.</p> <p>Fabian's experience includes working as a data scientist at Roche and conducting research at research institutes like the Max-Planck Institute for Biochemistry. His educational background is physics, with specializations in biophysics and theoretical physics. Throughout his career, he has conducted research in various fields, ranging from biophysics, life science, material science, optics, to simulations of biological processes, and most recently applied machine learning<br />  </p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl03_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225882.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Florian Nigsch" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Florian Nigsch</a></div> <div style="margin-top:5px"">Director Data Science</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Novartis</div> <div class="hidden speaker-details">Director Data Science, Novartis</div> <div class="hidden speaker-profile"><p>Florian Nigsch currently works in Discovery Sciences at Novartis Biomedical Research where he leads a data science team focused on enabling early drug discovery through multi-disciplinary approaches including a variety of genomics and computational technologies. He has a mixed education in molecular biology and chemistry, holds a Masters degree in Physical and Theoretical Chemistry, Paris/France, and a PhD in Computational Chemistry, Cambridge/UK.</p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl04_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225372.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Fred Manby" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Fred Manby</a></div> <div style="margin-top:5px"">Co-Founder and CTO</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Iambic Therapeutics</div> <div class="hidden speaker-details">Co-Founder and CTO, Iambic Therapeutics</div> <div class="hidden speaker-profile"><p>Fred Manby is a scientist and entrepreneur focused on integration of AI technologies and high-throughput experimentation in small-molecule drug discovery. He received a DPhil in Chemistry from the University of York, and had a prolific 20-year academic career in quantum and computational chemistry, primarily as a Professor at the University of Bristol. In 2020 Fred left his academic role to co-found Iambic Therapeutics, where he is Chief Technology Officer. Iambic is a clinical-stage biopharma which innovates in machine learning and laboratory automation to create technologies that drive an internal pipeline of drug discovery programs, with a primary focus in oncology.</p></div> </div> </div> </div> </div> <div class="row"> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl05_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225801.png?width=250&height=250&bgcolor=white&scale=canvas" alt="Hannah Bruce Macdonald" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Hannah Bruce Macdonald</a></div> <div style="margin-top:5px"">Associate Principal Scientist</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">CHARM Therapeutics</div> <div class="hidden speaker-details">Associate Principal Scientist, CHARM Therapeutics</div> <div class="hidden speaker-profile"><p>Hannah is a computational chemist and member of the modeling and informatics group at Charm therapeutics. Hannah started her interest in computational modelling during her PhD at the University of Southampton and postdoc at Memorial Sloan Kettering Cancer Center in New York. She then moved to applying these methods to drug discovery at MSD in London, prior to joining Charm in 2022.</p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl06_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225748.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Henrik Moebitz" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Henrik Moebitz</a></div> <div style="margin-top:5px"">Director, CADD, Global Discovery Chemistry</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Novartis</div> <div class="hidden speaker-details">Director, CADD, Global Discovery Chemistry, Novartis</div> <div class="hidden speaker-profile"><p>Henrik Möbitz is a Director Data Science in Global Discovery Chemistry, CADD. Working at the interface between chemistry, biology and pharmacology, Henrik is keen to utilize computation to drug challenging targets with an emphasis on physicochemical properties and physics-based methods. Since joining Novartis in 2005, Henrik has contributed to 4 clinical compounds and 10 additional DRF/development candidates (most recently the first in class WRN inhibitor HRO761). He currently leads a CADD group in Basel and medicinal chemistry projects.</p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl07_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/silhouette_M.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="James Lumley" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">James Lumley</a></div> <div style="margin-top:5px"">Head of Cheminformatics</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">GSK</div> <div class="hidden speaker-details">Head of Cheminformatics, GSK</div> <div class="hidden speaker-profile"><p>James is Head of Cheminformatics at GSK leading a team delivering project support across multiple modalities via the development of proprietary methods, models & platforms for automated design. The team have responsibility for GSK’s validated automated design platform BRADSHAW and the underlying machine learning platform QSAR Studio. His initial career includes 10 years in Biotech as Head of Computational Chemistry, Arrow therapeutics then later as a ReViral Ltd cofounder. He has inventorship on multiple antiviral drug candidates including AZD-7295 and later Sisunatovir (RV521). In 2010 James joined Eli Lilly responsible for global Cheminformatics support. He led projects delivering award winning projects across small molecule research including multiple CIO awards and a BioIT World Innovative Practice Award (Research.Data 2020). James has a PhD in Computational Chemistry and over 25 years experience in drug discovery Research with 4 years at GSK.</p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl08_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225082.png?width=250&height=250&bgcolor=white&scale=canvas" alt="Kinga Bercsenyi " align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Kinga Bercsenyi </a></div> <div style="margin-top:5px"">Chief Business Officer</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Arctoris</div> <div class="hidden speaker-details">Chief Business Officer, Arctoris</div> <div class="hidden speaker-profile"><p>Kinga Bercsenyi, PhD is the Chief Business Officer of Arctoris, a tech-enabled CRO based in Oxford.</p> <p>Kinga completed her PhD at Cancer Research UK, followed by a Sir Henry Wellcome postdoctoral fellowship at King’s College London. She has extensive research experience spanning from early, through preclinical drug discovery, all the way to clinical trials. In her role at Arctoris, she is working tirelessly to support biotech and pharma clients in getting better data, which leads to better decisions and ultimately, better drugs for patients</p></div> </div> </div> </div> </div> <div class="row"> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl09_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225699.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Le Mu" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Le Mu</a></div> <div style="margin-top:5px"">Product Line Manager for End-to-End AI/ML, Product Owner and Tech Lead for Roche pRED-MLOps service</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Roche</div> <div class="hidden speaker-details">Product Line Manager for End-to-End AI/ML, Product Owner and Tech Lead for Roche pRED-MLOps service, Roche</div> <div class="hidden speaker-profile"><p>Having worked 10+ years in digitalization across different industries, Le (Muller) Mu is combining his IT experience with his knowledge in molecular biology to help accelerate the drug discovery process in Roche Pharma Research and Early Development (pRED). He is currently the product line manager for End-to-End AI/ML and product owner and tech lead for the Roche pRED MLOps Service team, driving the operationalization of many different machine learning models, which helps to bring better future medicines faster into the hands of the patients.</p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl10_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225749.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Lewis Vidler" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Lewis Vidler</a></div> <div style="margin-top:5px"">Senior Director - Structure Based Drug Design</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Eli Lilly</div> <div class="hidden speaker-details">Senior Director - Structure Based Drug Design, Eli Lilly</div> <div class="hidden speaker-profile"></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl11_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225828.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Lisa Schneider" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Lisa Schneider</a></div> <div style="margin-top:5px"">Machine Learning Scientist</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Bayer</div> <div class="hidden speaker-details">Machine Learning Scientist, Bayer</div> <div class="hidden speaker-profile"><p>Lisa is a Machine Learning Researcher at Bayer AG, focusing on developing machine learning methods to enhance drug discovery and clinical care. Her research evolves mainly around computer vision and multi-modal applications. Lisa’s academic background includes a Master’s in Digital Engineering and soon a doctoral degree from Charité - University Medicine Berlin.</p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl12_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/silhouette_M.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Marcel Verdonk" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Marcel Verdonk</a></div> <div style="margin-top:5px"">Research Fellow</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Astex Pharmaceuticals</div> <div class="hidden speaker-details">Research Fellow, Astex Pharmaceuticals</div> <div class="hidden speaker-profile"><p>Marcel Verdonk is a Research Fellow at Astex Pharmaceuticals. Marcel received his PhD in computational chemistry and crystallography from Utrecht University in 1995. He then spent four years at the Cambridge Crystallographic Data Centre, where he was responsible for the development of various structure-based design tools. Since November 2000, Marcel has been at Astex, where he headed up a group developing informatics, machine learning and structure-based design software applications.</p></div> </div> </div> </div> </div> <div class="row"> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl13_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225747.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Maureen Makes" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Maureen Makes</a></div> <div style="margin-top:5px"">VP Engineering</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Recursion</div> <div class="hidden speaker-details">VP Engineering, Recursion</div> <div class="hidden speaker-profile"><p>Maureen Makes is a tech leader currently working to decode biology to radically improve lives at Recursion as VP of Engineering and site lead for the London office. Maureen is passionate about building systems that have a meaningful positive impact on society. Prior to Recursion, Maureen worked to democratize access to higher education and technology learning at Pluralsight and Lambda School. She was also the co-founder of Women Who Code SLC in 2018, Utah Business 40 under Forty in 2023 and Technology Leader of the Year for 2019 by the Women Tech Council.</p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl14_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225898.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Peter Clark" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Peter Clark</a></div> <div style="margin-top:5px"">VP, Computational Drug Design</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Novo Nordisk</div> <div class="hidden speaker-details">VP, Computational Drug Design, Novo Nordisk</div> <div class="hidden speaker-profile"></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl15_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225750.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Petrina Kamya" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Petrina Kamya</a></div> <div style="margin-top:5px"">President, Insilico Medicine Canada Inc., and Global Head of AI Platforms, VP</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Insilico Medicine </div> <div class="hidden speaker-details">President, Insilico Medicine Canada Inc., and Global Head of AI Platforms, VP, Insilico Medicine </div> <div class="hidden speaker-profile"><p>Petrina Kamya, PhD, is the Global Head of AI Platforms and President of Insilico Medicine Canada, overseeing Insilico’s end-to-end generative AI-driven drug discovery platform, Pharma. AI. <br /> Before joining Insilico, Dr. Kamya had a career in Market Access and held several positions at a software company that developed CADD tools for drug discovery and development. <br /> She holds a Ph.D. in theoretical chemistry and a BS in biochemistry from Concordia University.<br />  </p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl16_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225347.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Prakash Rathi" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Prakash Rathi</a></div> <div style="margin-top:5px"">Augmented Drug Design Engineering Lead</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">AstraZeneca</div> <div class="hidden speaker-details">Augmented Drug Design Engineering Lead, AstraZeneca</div> <div class="hidden speaker-profile"><p>Prakash finished his PhD in computational protein design from University of Dusseldorf in 2014. He then worked at Astex Pharmaceuticals, Cambridge, UK as a scientific software developer. Since Dec 2019 Prakash is working within R&D IT at AstraZeneca where he is currently leading multiple teams building data, AI, and software solutions for small molecule and antibody drug discovery. He has a keen interest in the intersection of science and technology to discover innovative pharmaceuticals.</p></div> </div> </div> </div> </div> <div class="row"> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl17_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/226560.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Ravi Gupta" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Ravi Gupta</a></div> <div style="margin-top:5px"">Advisor - Clinical Data Automation, Data & Analytics</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Eli Lilly & Company</div> <div class="hidden speaker-details">Advisor - Clinical Data Automation, Data & Analytics, Eli Lilly & Company</div> <div class="hidden speaker-profile"><p>Ravi Gupta is Advisor in Clinical Data Automation at Eli Lilly & Company, with expertise in the integration of AI, machine learning, and advanced analytics into clinical trial data. With extensive experience in the field, he has spearheaded initiatives to automate data flows, increase efficiency, and provide real-time, data-based decision support. He specializes in automation tool design and using cloud technologies to streamline workflows and enhance data quality. Ravi has been a student at IIM Bangalore and is a strategic leader in bringing data innovations to clinical research and operations</p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl18_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225107.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Steve Gardner" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Steve Gardner</a></div> <div style="margin-top:5px"">CEO</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">PrecisionLife</div> <div class="hidden speaker-details">CEO, PrecisionLife</div> <div class="hidden speaker-profile"><p>Steve is a pioneer in precision medicine and has over 30 years’ experience developing and commercializing ground-breaking data science in the life sciences, with an established track record in building world-class companies and products.<br /> He is Chair of the UK Bioindustry Association’s Genomic Advisory Committee, Co-Chair of the Metrodora Foundation Scientific Advisory Board, a former Global Director of Research Informatics for Astra A/B and has consulted with drug discovery and development teams in over 20 biopharma companies.<br />  </p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl19_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225815.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Vladislav Kim" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Vladislav Kim</a></div> <div style="margin-top:5px"">Research Scientist</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">Bayer</div> <div class="hidden speaker-details">Research Scientist, Bayer</div> <div class="hidden speaker-profile"><p>Vlad, an ML researcher at Bayer, is developing AI-driven computer vision solutions for early-stage drug discovery. Leveraging foundation models for complex bioimaging data, Vlad is working on accelerating target discovery and improving the safety and efficacy profiles of preclinical drug candidates.</p></div> </div> </div> </div> <div class="col-xs-12 col-sm-6 col-lg-3 speaker-grid"> <div class="col-sm-12" style="margin-top:20px"> <a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details"> <div style="position: relative; width: 250px; height: 250px; overflow: hidden; border-radius: 50%; border:2px solid black; margin-left:auto; margin-right:auto; margin-bottom: 20px;"> <img id="ctl00_MainContent_ctl05_rptAllSpeakers_ctl20_imgSpeaker" class="img-responsive speaker-image" src="/documentportal/speakerimage/225370.jpg?width=250&height=250&bgcolor=white&scale=canvas" alt="Yogesh Sabnis" align="right" style="width:100%; height:auto; " /> </div> </a> </div> <div class="col-sm-12"> <div class="" style="text-align:center; min-height:125px;"> <div class="speaker-name" style="margin-top:20px; font-weight:700;"><a href="#pop-speaker-single" class="open-popup-link" title="Speaker Details">Yogesh Sabnis</a></div> <div style="margin-top:5px"">Director of Lead Design</div> <div style="margin-top:5px; font-weight:700; font-color: #000;">UCB Biopharma srl</div> <div class="hidden speaker-details">Director of Lead Design, UCB Biopharma srl</div> <div class="hidden speaker-profile"><p>Yogesh completed his PhD in Synthetic & Computational Chemistry from the University of Mississippi in 2002 and finished post doctorate at Uppsala University, Sweden in 2006. After which, he joined Pfizer where his work was seminal to the discovery of candidate (PF-06263276), toward plaque psoriasis program which went to Phase 1. He joined the Global CADD at UCB in Belgium in 2011 and has since successfully contributed to clinical PET programs ([18F]UCB-K and UCB2897). With the ambition of “Faster to Candidate”, he led the in-house development and implementation of D2P2 (data-driven predictive platform) to enable better decision-making for NCE discovery.</p></div> </div> </div> </div> </div> </div> </div> </div> <div role="tabpanel" class="tab-pane" id="tab_sponsors"> <div class="sponsor_new sponsor-elem"> </div> <div class="other_sponser_sec"> <div class="container-fluid"> <div class="col-md-12" style=""> <h3>Sponsors</h3> <ul style="float: none; text-align: center;"> <li style="float:none; width:210px; margin:25px;text-align:center; display:inline-block;"> <div class="sponsor-elem"> <a href="#pop-sponsor-single" class="open-popup-link "><img id="ctl00_MainContent_ctl06_rptSponsors_ctl01_imgSponsor" class="sponsor-image" src="/_media/partners/5258.jpg?width=200" /></a><br /> <a href="#pop-sponsor-single" class="open-popup-link view_det">View details</a> <span id="ctl00_MainContent_ctl06_rptSponsors_ctl01_lblName" class="hidden sponsor-name">Schrödinger</span> <span id="ctl00_MainContent_ctl06_rptSponsors_ctl01_lblType" class="hidden sponsor-type">Sponsors</span> <span id="ctl00_MainContent_ctl06_rptSponsors_ctl01_lblLink" class="hidden sponsor-link">http://www.schrodinger.com</span> <span id="ctl00_MainContent_ctl06_rptSponsors_ctl01_lblProfile" class="hidden sponsor-profile"><p>Schrödinger is transforming the way therapeutics and materials are discovered. Schrödinger has pioneered a physics-based computational platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is licensed by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Schrödinger’s multidisciplinary drug discovery team also leverages the software platform to advance a portfolio of collaborative and proprietary programs to address unmet medical needs.<p/></span> </div> </li> </ul> </div> </div> <div class="clearfix"></div> <div class="buttons buttons_ed" style="margin-bottom: 40px;"> <a id="ctl00_MainContent_ctl06_rptSponsors_ctl02_lnkPopup" class="button-white open-popup-link" href="#pop-sponsors">view all Sponsors</a> <a href="#pop-sponsor" class="button-white open-popup-link">Sponsor the conference</a> </div> </div> </div> <div role="tabpanel" class="tab-pane" id="tab_partners"> <div class="sponsor_new sponsor-elem"> </div> <div class="sponsor_new sponsor-elem"> </div> <div class="other_sponser_sec"> </div> </div> <div role="tabpanel" class="tab-pane" id="tab_associatedevents"> <div class="associate_event_sec"> </div> </div> <div role="tabpanel" class="tab-pane" id="tab_venue"> <div class="venue_sec"> <h2 class="font_weght">VENUE</h2> <h2 class="font_weght2">Hilton London Kensington</h2> <p>179-199 Holland Park Avenue, London, United Kingdom</p> <div class="row"> <div class="col-sm-6"> <div class="venue_left"> <a href="#"><img src="/documentPortal/venueImages/319.jpg" alt="" /></a> </div> </div> <div class="col-sm-6"> <div class="venue_map"> <iframe src="https://www.google.com/maps/d/u/0/embed?mid=zDxkJou5X4vI.k2pc1IMkZJhg"></iframe> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <div class="venue_details"> <p><p>At the heart of the Holland Park district, our hotel is 10 minutes from Westfield London shopping center. We're blocks from Shepherd's Bush Underground station, linking to central London, and Kensington Palace and Gardens are two miles from us. Enjoy 24-hour access to our fitness center.</p> <div style="margin: 0cm"> <div style="margin: 0cm"> </div> <div style="margin: 0cm">Join us in WestEleven for hearty buffet breakfast, a great way to start the day! Our Avenue Bar and Lounge serves light bites throughout the day as well as a delicious, seasonal dining menu.”</div> </div></p> <div style="text-align:left"> <strong>A number of our clients have been approached by third party organisations offering to book hotel rooms. We would advise that you do not book through them as they are not representing the SMi Group. SMi Group books all hotel rooms directly. If you are approached by a third party organisation then please contact us before making any bookings. If you have already booked a hotel room using a third party organisation, we would highly recommend contacting the hotel you were booked into to ensure a booking has been made for you. We would also advise you to please check the terms and conditions of the booking carefully.</strong> </div> <a href="/documentPortal/hotelBookingForms/6073.pdf?v=1">HOTEL BOOKING FORM</a> </div> </div> </div> </div> </div> <div role="tabpanel" class="tab-pane" id="tab_downloads"> <div id="downloads"> <div class="col-md-4"> <div class="download_list2"> <div class="download_list2_pic"> <a id="ctl00_MainContent_ctl12_rptDownloads_ctl00_hypDownload1" href="https://www.smgconferences.com/pharmaceuticals/uk/conference/drug-discovery?o=login&dpb=1&dl=cc&p1=6073&p2=5451"><img id="ctl00_MainContent_ctl12_rptDownloads_ctl00_imgDownload" src="/documentportal/ComplementaryContent/5451.png?width=320&height=320&canvas=white" /></a> </div> <div class="download_list2_txt"> <h4>Past Audience Breakdown</h4> <a id="ctl00_MainContent_ctl12_rptDownloads_ctl00_hypDownload2" href="https://www.smgconferences.com/pharmaceuticals/uk/conference/drug-discovery?o=login&dpb=1&dl=cc&p1=6073&p2=5451">Download</a> </div> </div> </div>  </div> </div> </div> </div> </div> </div> </div> <div> <div class="container"> <div class="row"> <div class="col-sm-12"> </div> </div> </div> </div> <div id="pop-sponsors" class="white-popup mfp-hide"> <h3 style="padding-left: 0"> Sponsors</h3> <div class="clearfix"> <br /> <div class="s-left-side" style="width: 30%; display: table-cell; vertical-align: top; float: left;"> <a href="http://www.schrodinger.com" target="_blank"> <img src="https://www.smgconferences.com/_media/partners/5258.jpg" alt="sponsor image" class="img-responsive popup-image" align="left" /></a> </div> <div class="s-right-side" style="width: 70%; display: table-cell; padding-left: 10px;"> <h3 style="padding-left: 0px; margin: 0px"> Schrödinger</h3> <div class="subtitle"> Sponsors</div> <a href="http://www.schrodinger.com" target="_blank" class="link" align="right"> http://www.schrodinger.com</a> <br /> <br /> <div class="textbody"> <p>Schrödinger is transforming the way therapeutics and materials are discovered. Schrödinger has pioneered a physics-based computational platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is licensed by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Schrödinger’s multidisciplinary drug discovery team also leverages the software platform to advance a portfolio of collaborative and proprietary programs to address unmet medical needs.<p/> </div> <br /> </div> </div> </div> <div id="pop-ical" class="ical-popup mfp-hide"> <h3 style="padding-left: 0px; margin: 0px"> SAVE TO</h3> <br /> <img src="/_images/newsite/cal-1.jpg" alt="Outlook Calendar" />  <a href="/pharmaceuticals/uk/conference/drug-discovery/event.ics" style="color: #000">OUTLOOK CALENDAR</a><br /> <img src="/_images/newsite/cal-2.jpg" alt="Google Calendar" />  <a href="http://www.google.com/calendar/event?action=TEMPLATE&text=AI+in+Drug+Discovery&dates=20250310T080000Z/20250311T174000Z&details=SAE+is+proud+to+present+the+6th+Annual+AI+in+Drug+Discovery+Conference+on+10th-11th+March+2025&location=Hilton+London+Kensington%2c+London&sprop=website:www.smi-online.co.uk" style="color: #000">GOOGLE CALENDAR</a><br /> <img src="/_images/newsite/cal-3.jpg" alt="ICal Calendar" />  <a href="/pharmaceuticals/uk/conference/drug-discovery/event.ics" style="color: #000">ICAL CALENDAR</a><br /> <img src="/_images/newsite/cal-4.jpg" alt="Yahoo! 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CALENDAR</a><br /> </div> <div id="pop-venue" class="white-popup mfp-hide"> <h3 style="padding-left: 0px; margin: 0px"> Hilton London Kensington</h3> 179-199 Holland Park Avenue<br/> London W11 4UL<br/> United Kingdom<br/> <br /> <div class="clearfix"> <div class="s-left-side" style="width: 50%; display: table-cell; vertical-align: top; float: left;"> <img src="/documentPortal/venueImages/319.jpg?width=350" alt="Hilton London Kensington" class="img-responsive" /> </div> <div class="s-right-side" style="width: 50%; display: table-cell; float: left; text-align: right"> <iframe class="iframe-map" style="height: 350px; width: 100%; padding-left: 10px; border: 0" src="https://www.google.com/maps/d/u/0/embed?mid=zDxkJou5X4vI.k2pc1IMkZJhg" frameborder="0"></iframe> </div> </div> <br /> <p>At the heart of the Holland Park district, our hotel is 10 minutes from Westfield London shopping center. We're blocks from Shepherd's Bush Underground station, linking to central London, and Kensington Palace and Gardens are two miles from us. Enjoy 24-hour access to our fitness center.</p> <div style="margin: 0cm"> <div style="margin: 0cm"> </div> <div style="margin: 0cm">Join us in WestEleven for hearty buffet breakfast, a great way to start the day! Our Avenue Bar and Lounge serves light bites throughout the day as well as a delicious, seasonal dining menu.”</div> </div> <div style="margin-top:20px;"> <a href="/documentPortal/hotelBookingForms/6073.pdf" class="log_btn" target="_blank">HOTEL BOOKING FORM</a> </div> </div> <div id="pop-speaker-single" class="white-popup mfp-hide"> <br /> <div class="clearfix"> <div class="s-left-side" style="width: 75%; display: table-cell; vertical-align: top; float: left;"> <h3 class="title" style="padding-left: 0px; margin: 0px"> Title</h3> <span class="subtitle">SubTitle</span> </div> <div class="s-right-side" style="width: 25%; display: table-cell; float: left;"> <img src="" alt="speaker image" class="img-responsive popup-image" align="right" /> </div> </div> <br /> <div class="textbody"> Content </div> </div> <div id="pop-media-single" class="white-popup mfp-hide"> <br /> <div> <div class="clearfix"> <br /> <div class="s-left-side" style="width: 75%; display: table-cell; vertical-align: top; float: left;"> <h3 class="title" style="padding-left: 0; margin: 0"> </h3> <div class="subtitle"> </div> <a href="" target="_blank" class="link"> </a> </div> <div class="s-right-side" style="width: 25%; display: table-cell; float: left;"> <a href="" target="_blank" class="imagelink"> <img src="" alt="sponsor image" class="img-responsive popup-image" align="right" /></a> </div> </div> <br /> <div class="textbody"> </div> </div> </div> <div id="pop-download" class="mfp-hide white-popup"> <h3 class="title" style="padding-left: 0px; margin: 0px">Title</h3><br /> <div class="desc">Description</div><br /> <a href="javascript:void(0)" class="link log_btn">Download</a> </div> <div id="pop-download-presentation" class="mfp-hide white-popup"> <h3 class="title" style="padding-left: 0px; margin: 0px">Title</h3><br /> <div class="desc">Description</div><br /> <a href="javascript:void(0)" class="link log_btn">Download</a> <a href="#pop-login" class="open-popup-link log_btn login_link">Login</a><br /> </div> <div id="pop-video" class="mfp-hide white-popup"> <h3 class="title" style="padding-left: 0px; margin: 0px">Title</h3><br /> <div class="desc">Description</div><br /> <div class="video"><iframe class="if" src="" width="640" height="564" frameborder="0" allow="autoplay; fullscreen" allowfullscreen></iframe></div><br /> <a href="javascript:void(0)" class="link log_btn">Download</a> <a href="#pop-login" class="open-popup-link log_btn login_link">Login</a><br /> </div> <div class="container-fluid darkgrey"> <footer class="container"> <div class="contact-details"> <ul class="contact"> <li><a href="#pop-contact" class="open-popup-link">+44 (0)20 7827 6000</a></li> <li><a href="#pop-contact" class="open-popup-link">events@saemediagroup.com</a></li> </ul> <a href="#pop-cpd" class="open-popup-link"><img src="/_images/newsite/cpd.png" alt="" /></a> </div> <div class="participate"> <a href="#pop-speak" class="open-popup-link">Speak</a> <a href="#pop-sponsor" class="open-popup-link">Sponsor</a> <a href="#pop-attend" class="open-popup-link">Attend</a> <a href="/about-us/help">Help</a> <span> <a href="#pop-register" class="open-popup-link">Sign up</a>/<a href="#pop-login" class="open-popup-link">Login</a> </span> </div> <div> <ul class="nav navbar-nav"> <li><a href="/Default.aspx">Home</a></li> <li> <a id="ctl00_footer_navbar_footer_list_rSector_ctl00_sLnk" href="/defence/">Defence & Security</a> </li> <li> <a id="ctl00_footer_navbar_footer_list_rSector_ctl01_sLnk" href="/utility/">Utilities</a> </li> <li> <a id="ctl00_footer_navbar_footer_list_rSector_ctl02_sLnk" class="sectorselected" href="/pharmaceuticals/">Pharmaceuticals</a> </li>  <li> <a href="https://www.saemediagroup.com" target="_blank">Digital & Print Media</a> </li> </ul> </div> <div class="follow"> <p>follow us</p> <a href="http://www.linkedin.com/company/407332" class="linkedin" target="_blank"></a> <a href="https://twitter.com/SAEMGPharma" class="twitter" target="_blank"></a> </div> </footer> <hr /> <p class="copyright"> copyright © 2024 SAE Media Group</p> </div> <div id="cookie-use" class="cookie-use"> <div id="logo" class="cookie_img"> <a href="/"> <img alt="Home" src="/_images/newsite/logo.png" class="img-responsive" /></a> </div> <div class="cookie_content"> <h1> Cookie Policy</h1> <p> From May 2011 a new privacy law came into effect across the EU. 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Increasingly, employers also expect their staff to undertake regular CPD activities. </p> <p> Undertaken over a period of time, CPD ensures that educational qualifications do not become obsolete, and allows for best practice and professional standards to be upheld. </p> <p> CPD can be undertaken through a variety of learning activities including instructor led training courses, seminars and conferences, e:learning modules or structured reading. </p> <h3> CPD AND PROFESSIONAL INSTITUTES</h3> <p> There are approximately 470 institutes in the UK across all industry sectors, with a collective membership of circa 4 million professionals, and they all expect their members to undertake CPD. </p> <p> For some institutes undertaking CPD is mandatory e.g. accountancy and law, and linked to a licence to practice, for others it’s obligatory. 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To request a CPD certificate for a conference , workshop, master classes you have attended please email <a href="mailto:events@saemediagroup.com">events@saemediagroup.com</a> </p> </div> <div id="pop-news" class="white-popup mfp-hide"> <h3 class="news-evttitle" style="padding-left: 0px"> Event Title</h3> <h3 class="news-headline" style="padding-left: 0px"> Headline</h3> <div class="news-text"> Text </div> <a href="javascript:void(0)" class="news-evtlink log_btn" >Read More</a> </div> <div id="pop-speak" class="white-popup mfp-hide"> <div style="width: 100%"> <h3>I would like to speak at an event</h3> <div class="register_sec"> <form id="speak_form" action="" method="post"> <div class="ctrl-grp"> <label class="title"> Which conference are you interested in speaking at?</label> <select id="speak_conf" name="speak_conf" class="register-select conf_group"> <option value="">Select ...</option><option value="6030">Counter UAS Technology USA </option><option value="6043">Energy From Waste</option><option value="6029">Military Airlift and Air-to-Air Refuelling</option><option value="6057">Pre-Filled Syringes and Injectable Drug Devices </option><option value="6061">Maritime Reconnaissance and Surveillance Technology</option><option value="6060">Mobile Deployable Communications</option><option value="6063">UAV Technology USA</option><option value="6064">Counter UAS Homeland Security USA</option><option value="6065">RNA Therapeutics </option><option value="6073">AI in Drug Discovery</option><option value="6075">Future Soldier Technology</option><option value="6077">Military Robotics & Autonomous Systems</option><option value="6080">Counter UAS Technology Europe</option><option value="6103">Loitering Munitions USA</option><option value="6081">Smart Water Systems</option><option value="6084">Future Armoured Vehicles Situational Awareness</option><option value="6083">Military Space Situational Awareness </option><option value="6068">Pre-Filled Syringes and Injectable Drug Devices East Coast</option><option value="6093">Future Armoured Vehicles Central and Eastern Europe</option><option value="6094">Helicopter Technology Central and Eastern Europe</option><option value="6067">Pre-Filled Syringes and Injectable Drug Devices West Coast</option><option value="6097">Future Soldier Technology USA</option><option value="6099">MILSATCOM USA</option><option value="6092">Injectable Drug Delivery</option><option value="6106">Counter UAS Middle East & Africa</option><option value="6101">Military Robotics and Autonomous Systems USA</option><option value="6112">Unmanned Maritime Systems Technology USA</option><option value="6114">The Space Logistics Conference</option><option value="6115">Defence Exports</option><option value="6108">Counter UAS Homeland Security Europe</option><option value="6118">UAV Technology</option><option value="6133">Defence Aviation Safety</option><option value="6105">Counter UAS Commercial Shipping</option><option value="6121">Airborne ISR</option><option value="6125">Global MilSatCom 2025</option><option value="6130">Air and Missile Defence Technology </option><option value="6132">Loitering Munitions</option><option value="6128">Future Armoured Vehicles Survivability</option> </select> </div> <div class="ctrl-grp"> <label class="title">Not listed above?</label> <input type="text" id="speak_notlisted" name="speak_notlisted" value="" class="form-control conf_group" spellcheck="false" /> </div> <div class="ctrl-grp"> <label class="title"> How can we help?</label> <textarea id="speak_help" name="speak_help" class="form-control"></textarea> </div> <div class="indent"> <div class="ctrl-grp"> <label>Organisation*</label> <input type="text" id="speak_org" name="speak_org" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Website</label> <input type="text" id="speak_website" name="speak_website" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Title</label>  <select id="speak_title" name="speak_title" class="form-control title_group" style="" spellcheck="false"> <option>Mr</option> <option>Mrs</option> <option>Miss</option> <option>Ms</option> <option>Dr</option> <option selected="selected">Select ...</option> <option>1st Lieutenant</option> <option>1st Sergeant</option> <option>2nd Lieutenant</option> <option>Admiral</option> <option>Admiral Sir</option> <option>Air Chief Marshall</option> <option>Air Commodore</option> <option>Air Marshal</option> <option>Air Vice Marshal</option> <option>Ambassador</option> <option>Archbishop</option> <option>Assistant Chief Constable</option> <option>Assistant Commissioner</option> <option>Assistant Director</option> <option>Assistant Professor</option> <option>Associate Professor</option> <option>Attorney</option> <option>Baron</option> <option>Baroness</option> <option>Bishop</option> <option>blank</option> <option>Brigadier</option> <option>Brigadier General</option> <option>Brigadier General (Ret’d)</option> <option>Brother</option> <option>Bsc</option> <option>Captain</option> <option>Chairman</option> <option>Chef de service administratif</option> <option>Chef D'escadron</option> <option>Chief</option> <option>Chief Constable</option> <option>Chief Inspector</option> <option>Chief Mast Sergeant</option> <option>Chief Petty Officer</option> <option>Chief Sergeant</option> <option>Chief Superintendent</option> <option>Colonel</option> <option>Colonel (Ret’d)</option> <option>Commandant</option> <option>Commander</option> <option>Commander Captain</option> <option>Commander General</option> <option>Commissaire Capitaine</option> <option>Commissaire Colonel</option> <option>Commissaire commandant</option> <option>Commissaire en chef</option> <option>Commissaire General</option> <option>Commissaire General de brigade</option> <option>Commissaire general de division</option> <option>Commissaire lieutenant</option> <option>Commissaire Lieutenant Colonel</option> <option>Commissaire principal</option> <option>Commissioner</option> <option>Commodore</option> <option>Commodore (Ret’d)</option> <option>Congressman</option> <option>Contre-Amiral</option> <option>Controleur des Armees</option> <option>Controleur general des armees</option> <option>Corporal</option> <option>Councillor</option> <option>Dame</option> <option>Datuk</option> <option>Deputy</option> <option>Deputy Assistant Commissioner</option> <option>Deputy Chief Constable</option> <option>Deputy Commissioner</option> <option>Deputy Director General</option> <option>Detective</option> <option>Detective Chief Inspector</option> <option>Detective Constable</option> <option>Detective Inspector</option> <option>Detective Sargeant</option> <option>Detective Superintendent</option> <option>Director</option> <option>Doctor</option> <option>Earl</option> <option>Esq</option> <option>Father</option> <option>Federal Agent</option> <option>Flight Lieutenant</option> <option>Flight Sergeant</option> <option>Frau</option> <option>Frau Dr</option> <option>General</option> <option>General (Ret'd)</option> <option>General Manager</option> <option>General Sir</option> <option>Governor</option> <option>Grand Duke</option> <option>Group Captain</option> <option>Herr</option> <option>Herr Dr</option> <option>His Excellency</option> <option>His Grace Most Rev</option> <option>His Highness</option> <option>His Honour</option> <option>His Majesty King</option> <option>His Royal Highness</option> <option>His Royal Highness Prince</option> <option>Honourable</option> <option>Honourable Dr</option> <option>Honourable Judge</option> <option>Honourable Mr Justice</option> <option>Ing</option> <option>Ingenieur des ETA</option> <option>Ingenieur d'etudes et de fabrications</option> <option>Ingenieur divissionaire des TPE</option> <option>Ingenieur en chef 1c des ETTM</option> <option>Ingenieur en chef de l'armement</option> <option>Ingenieur en chef de l'armentent</option> <option>Ingenieur en chef des ETA</option> <option>Ingenieur en chef des P et C</option> <option>Ingenieur general 2c de l'armemnt</option> <option>Ingenieur general de l'armement</option> <option>Ingenieur General hc de l'armement</option> <option>Ingenieur principal de l'armement</option> <option>Ingenieur principal des ETA</option> <option>Inspecteur principal des impots</option> <option>Inspector</option> <option>Inspector General</option> <option>Judge</option> <option>King</option> <option>Lady</option> <option>Lieutenant</option> <option>Lieutenant Commander</option> <option>Lieutenant Colonel</option> <option>Lieutenant Colonel (Ret'd)</option> <option>Lieutenant Commander</option> <option>Lieutenant General</option> <option>Lieutenant General Sir</option> <option>Lord</option> <option>Ma</option> <option>Madame</option> <option>Magistrat Lieutenant Colonel</option> <option>Major</option> <option>Major (Ret'd)</option> <option>Major Brigadier</option> <option>Major General</option> <option>Major General (ret'd)</option> <option>Major Sargeant</option> <option>Managing Director</option> <option>Master Sergeant</option> <option>Minister</option> <option>Monsieur</option> <option>Monsignor</option> <option>Most Reverend</option> <option>Most Reverend Archbishop</option> <option>Most Reverend Bishop</option> <option>Most Reverend Dr</option> <option>MP</option> <option>Mr.</option> <option>Ms.</option> <option>Msc</option> <option>myt</option> <option>Ph.D</option> <option>Police Constable</option> <option>Police Director</option> <option>President</option> <option>President & Chief Executive Officer</option> <option>Prince</option> <option>Prof</option> <option>Professor</option> <option>Professor Dame</option> <option>Professor Dr</option> <option>Rear Admiral</option> <option>Reverend</option> <option>Reverend Dr</option> <option>Reverend Professor</option> <option>Right Admiral</option> <option>Right Honourable</option> <option>Right Rev</option> <option>Rt Hon</option> <option>Rt Hon Dame</option> <option>Rt Hon Lord</option> <option>Rt Hon Lord Justice</option> <option>Rt Hon Sir</option> <option>Rt Honourable</option> <option>Rt Rev</option> <option>Rt Rev Dr</option> <option>Rt Rev Lord</option> <option>Rt Rev Mgr</option> <option>Rt Rev Monsignor</option> <option>Rt. Hon</option> <option>Senator</option> <option>Senior General</option> <option>Sergeant</option> <option>Sergeant Major</option> <option>Sheikh</option> <option>Sir</option> <option>Sister</option> <option>Sous-lieutenant</option> <option>Squadron Leader</option> <option>Squadron Leader (Ret'd)</option> <option>Staff Brigadier</option> <option>Staff Sergeant</option> <option>Sultan</option> <option>Superintendent</option> <option>Surgeon Commodore</option> <option>Surgeon Rear Admiral</option> <option>Surgeon Vice Admiral</option> <option>The Honourable</option> <option>The Honourable Dr</option> <option>The Honourable Lord</option> <option>The Honourable Miss</option> <option>The Honourable Mr</option> <option>The Honourable Mr Justice</option> <option>The Most Reverend</option> <option>The Right Honourable</option> <option>The Right Honourable Baroness</option> <option>The Right Honourable Lord</option> <option>The Right Honourable Sir</option> <option>The Right Reverend</option> <option>Very Reverend</option> <option>Very Reverend Dr</option> <option>Vice Admiral</option> <option>Vice Admiral d'escadre</option> <option>Vice Admiral Sir</option> <option>Vice Amiral d'escadre</option> <option>Vice Chairman</option> <option>Vice President</option> <option>Viscount</option> <option>Warrant Officer</option> <option>Wing Commander</option> <option>Other</option> </select> <div style="display:none;"> <input type="text" id="speak_title_other" name="speak_title_other" value="" class="form-control title_group" style="margin:10px 0 0 178px; background-color: #ccc;" spellcheck="false" disabled="disabled" /> </div> <script> $(document).ready(function () { $("#speak_title").change(function () { if ($("option:selected", this).text() == 'Other') { $('#speak_title_other').prop('disabled', false); $('#speak_title_other').css({ 'background-color': '#fff' }); $('#speak_title_other').parent().slideDown(); } else { $('#speak_title_other').val(''); $('#speak_title_other').prop('disabled', true); $('#speak_title_other').css({ 'background-color': '#ccc' }); $('#speak_title_other').parent().slideUp(); } }); }); </script> </div> <div class="ctrl-grp"> <label>First Name*</label> <input type="text" id="speak_firstname" name="speak_firstname" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Surname*</label> <input type="text" id="speak_surname" name="speak_surname" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Email*</label> <input type="text" id="speak_email" name="speak_email" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label> Phone*</label> <input type="text" id="speak_phone" name="speak_phone" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp ffh"> <label>Address*</label> <input type="text" id="speak_add" name="speak_add" value="" class="form-control" spellcheck="false" /> </div> </div> <div class="ctrl-grp"> <label class="title"> What is the topic you wish to speak about?</label> <textarea id="speak_topic" name="speak_topic" class="form-control"></textarea> </div> <div class="ctrl-grp checkbox-grp"> <div><input id="speak_returning" name="speak_returning" type="checkbox" /></div> <label for="speak_returning"> I'm a returning speaker from a previous event</label> </div> <div class="ctrl-grp"> <label class="title"> Where did you hear about SAE Media Group?</label> <input type="text" id="speak_hear" name="speak_hear" value="" class="form-control" /> </div> <input id="speak_submit" type="submit" value="SUBMIT DETAILS" class="log_btn" /> </form> </div> </div> </div> <div id="pop-attend-group" class="white-popup mfp-hide"></div> <div id="pop-attend" class="white-popup mfp-hide"> <div style="width: 100%"> <h3 id="popTitle">I would like to attend an event</h3> <h3 id="popGroupTitle">Group Booking</h3> <h4 id="popGroupSubTitle" style="padding-left:80px;">Please complete the below form and a member of SAE Media Group’s booking team will be in contact within 24 hours</h4> <div class="register_sec"> <form id="attend_form" action="" method="post"> <div class="ctrl-grp" id="divAttendConf"> <label class="title">Which conference are you interested in attending?</label> <select id="attend_conf" name="attend_conf" class="register-select conf_group"> <option value="">Select ...</option><option value="6030">Counter UAS Technology USA </option><option value="6043">Energy From Waste</option><option value="6029">Military Airlift and Air-to-Air Refuelling</option><option value="6057">Pre-Filled Syringes and Injectable Drug Devices </option><option value="6061">Maritime Reconnaissance and Surveillance Technology</option><option value="6060">Mobile Deployable Communications</option><option value="6063">UAV Technology USA</option><option value="6064">Counter UAS Homeland Security USA</option><option value="6065">RNA Therapeutics </option><option value="6073">AI in Drug Discovery</option><option value="6075">Future Soldier Technology</option><option value="6077">Military Robotics & Autonomous Systems</option><option value="6080">Counter UAS Technology Europe</option><option value="6103">Loitering Munitions USA</option><option value="6081">Smart Water Systems</option><option value="6084">Future Armoured Vehicles Situational Awareness</option><option value="6083">Military Space Situational Awareness </option><option value="6068">Pre-Filled Syringes and Injectable Drug Devices East Coast</option><option value="6093">Future Armoured Vehicles Central and Eastern Europe</option><option value="6094">Helicopter Technology Central and Eastern Europe</option><option value="6067">Pre-Filled Syringes and Injectable Drug Devices West Coast</option><option value="6097">Future Soldier Technology USA</option><option value="6099">MILSATCOM USA</option><option value="6092">Injectable Drug Delivery</option><option value="6106">Counter UAS Middle East & Africa</option><option value="6101">Military Robotics and Autonomous Systems USA</option><option value="6112">Unmanned Maritime Systems Technology USA</option><option value="6114">The Space Logistics Conference</option><option value="6115">Defence Exports</option><option value="6108">Counter UAS Homeland Security Europe</option><option value="6118">UAV Technology</option><option value="6133">Defence Aviation Safety</option><option value="6105">Counter UAS Commercial Shipping</option><option value="6121">Airborne ISR</option><option value="6125">Global MilSatCom 2025</option><option value="6130">Air and Missile Defence Technology </option><option value="6132">Loitering Munitions</option><option value="6128">Future Armoured Vehicles Survivability</option> </select> </div>   <div class="indent"> <div class="ctrl-grp" id="divGroupSize"> <label>Group size</label> <input type="text" id="attend_groupSize" name="attend_groupSize" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Organisation*</label> <input type="text" id="attend_org" name="attend_org" value="" class="form-control" spellcheck="false" /> </div>  <div class="ctrl-grp"> <label>Title</label>  <select id="attend_title" name="attend_title" class="form-control title_group" style="" spellcheck="false"> <option>Mr</option> <option>Mrs</option> <option>Miss</option> <option>Ms</option> <option>Dr</option> <option selected="selected">Select ...</option> <option>1st Lieutenant</option> <option>1st Sergeant</option> <option>2nd Lieutenant</option> <option>Admiral</option> <option>Admiral Sir</option> <option>Air Chief Marshall</option> <option>Air Commodore</option> <option>Air Marshal</option> <option>Air Vice Marshal</option> <option>Ambassador</option> <option>Archbishop</option> <option>Assistant Chief Constable</option> <option>Assistant Commissioner</option> <option>Assistant Director</option> <option>Assistant Professor</option> <option>Associate Professor</option> <option>Attorney</option> <option>Baron</option> <option>Baroness</option> <option>Bishop</option> <option>blank</option> <option>Brigadier</option> <option>Brigadier General</option> <option>Brigadier General (Ret’d)</option> <option>Brother</option> <option>Bsc</option> <option>Captain</option> <option>Chairman</option> <option>Chef de service administratif</option> <option>Chef D'escadron</option> <option>Chief</option> <option>Chief Constable</option> <option>Chief Inspector</option> <option>Chief Mast Sergeant</option> <option>Chief Petty Officer</option> <option>Chief Sergeant</option> <option>Chief Superintendent</option> <option>Colonel</option> <option>Colonel (Ret’d)</option> <option>Commandant</option> <option>Commander</option> <option>Commander Captain</option> <option>Commander General</option> <option>Commissaire Capitaine</option> <option>Commissaire Colonel</option> <option>Commissaire commandant</option> <option>Commissaire en chef</option> <option>Commissaire General</option> <option>Commissaire General de brigade</option> <option>Commissaire general de division</option> <option>Commissaire lieutenant</option> <option>Commissaire Lieutenant Colonel</option> <option>Commissaire principal</option> <option>Commissioner</option> <option>Commodore</option> <option>Commodore (Ret’d)</option> <option>Congressman</option> <option>Contre-Amiral</option> <option>Controleur des Armees</option> <option>Controleur general des armees</option> <option>Corporal</option> <option>Councillor</option> <option>Dame</option> <option>Datuk</option> <option>Deputy</option> <option>Deputy Assistant Commissioner</option> <option>Deputy Chief Constable</option> <option>Deputy Commissioner</option> <option>Deputy Director General</option> <option>Detective</option> <option>Detective Chief Inspector</option> <option>Detective Constable</option> <option>Detective Inspector</option> <option>Detective Sargeant</option> <option>Detective Superintendent</option> <option>Director</option> <option>Doctor</option> <option>Earl</option> <option>Esq</option> <option>Father</option> <option>Federal Agent</option> <option>Flight Lieutenant</option> <option>Flight Sergeant</option> <option>Frau</option> <option>Frau Dr</option> <option>General</option> <option>General (Ret'd)</option> <option>General Manager</option> <option>General Sir</option> <option>Governor</option> <option>Grand Duke</option> <option>Group Captain</option> <option>Herr</option> <option>Herr Dr</option> <option>His Excellency</option> <option>His Grace Most Rev</option> <option>His Highness</option> <option>His Honour</option> <option>His Majesty King</option> <option>His Royal Highness</option> <option>His Royal Highness Prince</option> <option>Honourable</option> <option>Honourable Dr</option> <option>Honourable Judge</option> <option>Honourable Mr Justice</option> <option>Ing</option> <option>Ingenieur des ETA</option> <option>Ingenieur d'etudes et de fabrications</option> <option>Ingenieur divissionaire des TPE</option> <option>Ingenieur en chef 1c des ETTM</option> <option>Ingenieur en chef de l'armement</option> <option>Ingenieur en chef de l'armentent</option> <option>Ingenieur en chef des ETA</option> <option>Ingenieur en chef des P et C</option> <option>Ingenieur general 2c de l'armemnt</option> <option>Ingenieur general de l'armement</option> <option>Ingenieur General hc de l'armement</option> <option>Ingenieur principal de l'armement</option> <option>Ingenieur principal des ETA</option> <option>Inspecteur principal des impots</option> <option>Inspector</option> <option>Inspector General</option> <option>Judge</option> <option>King</option> <option>Lady</option> <option>Lieutenant</option> <option>Lieutenant Commander</option> <option>Lieutenant Colonel</option> <option>Lieutenant Colonel (Ret'd)</option> <option>Lieutenant Commander</option> <option>Lieutenant General</option> <option>Lieutenant General Sir</option> <option>Lord</option> <option>Ma</option> <option>Madame</option> <option>Magistrat Lieutenant Colonel</option> <option>Major</option> <option>Major (Ret'd)</option> <option>Major Brigadier</option> <option>Major General</option> <option>Major General (ret'd)</option> <option>Major Sargeant</option> <option>Managing Director</option> <option>Master Sergeant</option> <option>Minister</option> <option>Monsieur</option> <option>Monsignor</option> <option>Most Reverend</option> <option>Most Reverend Archbishop</option> <option>Most Reverend Bishop</option> <option>Most Reverend Dr</option> <option>MP</option> <option>Mr.</option> <option>Ms.</option> <option>Msc</option> <option>myt</option> <option>Ph.D</option> <option>Police Constable</option> <option>Police Director</option> <option>President</option> <option>President & Chief Executive Officer</option> <option>Prince</option> <option>Prof</option> <option>Professor</option> <option>Professor Dame</option> <option>Professor Dr</option> <option>Rear Admiral</option> <option>Reverend</option> <option>Reverend Dr</option> <option>Reverend Professor</option> <option>Right Admiral</option> <option>Right Honourable</option> <option>Right Rev</option> <option>Rt Hon</option> <option>Rt Hon Dame</option> <option>Rt Hon Lord</option> <option>Rt Hon Lord Justice</option> <option>Rt Hon Sir</option> <option>Rt Honourable</option> <option>Rt Rev</option> <option>Rt Rev Dr</option> <option>Rt Rev Lord</option> <option>Rt Rev Mgr</option> <option>Rt Rev Monsignor</option> <option>Rt. Hon</option> <option>Senator</option> <option>Senior General</option> <option>Sergeant</option> <option>Sergeant Major</option> <option>Sheikh</option> <option>Sir</option> <option>Sister</option> <option>Sous-lieutenant</option> <option>Squadron Leader</option> <option>Squadron Leader (Ret'd)</option> <option>Staff Brigadier</option> <option>Staff Sergeant</option> <option>Sultan</option> <option>Superintendent</option> <option>Surgeon Commodore</option> <option>Surgeon Rear Admiral</option> <option>Surgeon Vice Admiral</option> <option>The Honourable</option> <option>The Honourable Dr</option> <option>The Honourable Lord</option> <option>The Honourable Miss</option> <option>The Honourable Mr</option> <option>The Honourable Mr Justice</option> <option>The Most Reverend</option> <option>The Right Honourable</option> <option>The Right Honourable Baroness</option> <option>The Right Honourable Lord</option> <option>The Right Honourable Sir</option> <option>The Right Reverend</option> <option>Very Reverend</option> <option>Very Reverend Dr</option> <option>Vice Admiral</option> <option>Vice Admiral d'escadre</option> <option>Vice Admiral Sir</option> <option>Vice Amiral d'escadre</option> <option>Vice Chairman</option> <option>Vice President</option> <option>Viscount</option> <option>Warrant Officer</option> <option>Wing Commander</option> <option>Other</option> </select> <div style="display:none;"> <input type="text" id="attend_title_other" name="attend_title_other" value="" class="form-control title_group" style="margin:10px 0 0 178px; background-color: #ccc;" spellcheck="false" disabled="disabled" /> </div> <script> $(document).ready(function () { $("#attend_title").change(function () { if ($("option:selected", this).text() == 'Other') { $('#attend_title_other').prop('disabled', false); $('#attend_title_other').css({ 'background-color': '#fff' }); $('#attend_title_other').parent().slideDown(); } else { $('#attend_title_other').val(''); $('#attend_title_other').prop('disabled', true); $('#attend_title_other').css({ 'background-color': '#ccc' }); $('#attend_title_other').parent().slideUp(); } }); }); </script> </div> <div class="ctrl-grp"> <label>First Name*</label> <input type="text" id="attend_firstname" name="attend_firstname" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Surname*</label> <input type="text" id="attend_surname" name="attend_surname" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Email*</label> <input type="text" id="attend_email" name="attend_email" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Phone*</label> <input type="text" id="attend_phone" name="attend_phone" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp ffh"> <label>Address*</label> <input type="text" id="attend_add" name="attend_add" value="" class="form-control" spellcheck="false" /> </div> </div> <div class="ctrl-grp checkbox-grp" id="divAttendReturning"> <div><input id="attend_returning" name="attend_returning" type="checkbox" /></div> <label for="attend_returning">I'm a returning attendee from a previous event</label> </div>  <input id="attend_submit" type="submit" value="SUBMIT DETAILS" class="log_btn" /> </form> </div> </div> </div> <div id="pop-sponsor" class="white-popup mfp-hide"> <div style="width: 100%"> <h3 id="hSponsorExhibit">I would like to sponsor/exhibit at an event</h3> <div class="register_sec"> <form id="sponsor_form" action="" method="post"> <div class="ctrl-grp" id="divWhichConf"> <label class="title">Which conference are you interested in sponsoring?</label> <select id="sponsor_conf" name="sponsor_conf" class="conf_group"> <option value="">Select ...</option><option value="6030">Counter UAS Technology USA </option><option value="6043">Energy From Waste</option><option value="6029">Military Airlift and Air-to-Air Refuelling</option><option value="6057">Pre-Filled Syringes and Injectable Drug Devices </option><option value="6061">Maritime Reconnaissance and Surveillance Technology</option><option value="6060">Mobile Deployable Communications</option><option value="6063">UAV Technology USA</option><option value="6064">Counter UAS Homeland Security USA</option><option value="6065">RNA Therapeutics </option><option value="6073">AI in Drug Discovery</option><option value="6075">Future Soldier Technology</option><option value="6077">Military Robotics & Autonomous Systems</option><option value="6080">Counter UAS Technology Europe</option><option value="6103">Loitering Munitions USA</option><option value="6081">Smart Water Systems</option><option value="6084">Future Armoured Vehicles Situational Awareness</option><option value="6083">Military Space Situational Awareness </option><option value="6068">Pre-Filled Syringes and Injectable Drug Devices East Coast</option><option value="6093">Future Armoured Vehicles Central and Eastern Europe</option><option value="6094">Helicopter Technology Central and Eastern Europe</option><option value="6067">Pre-Filled Syringes and Injectable Drug Devices West Coast</option><option value="6097">Future Soldier Technology USA</option><option value="6099">MILSATCOM USA</option><option value="6092">Injectable Drug Delivery</option><option value="6106">Counter UAS Middle East & Africa</option><option value="6101">Military Robotics and Autonomous Systems USA</option><option value="6112">Unmanned Maritime Systems Technology USA</option><option value="6114">The Space Logistics Conference</option><option value="6115">Defence Exports</option><option value="6108">Counter UAS Homeland Security Europe</option><option value="6118">UAV Technology</option><option value="6133">Defence Aviation Safety</option><option value="6105">Counter UAS Commercial Shipping</option><option value="6121">Airborne ISR</option><option value="6125">Global MilSatCom 2025</option><option value="6130">Air and Missile Defence Technology </option><option value="6132">Loitering Munitions</option><option value="6128">Future Armoured Vehicles Survivability</option> </select> </div> <div class="ctrl-grp" id="divNotListed"> <label class="title">Not listed above?</label> <input id="sponsor_notlisted" name="sponsor_notlisted" type="text" value="" class="form-control conf_group" spellcheck="false" /> </div> <div class="ctrl-grp hidden"> <label class="title"> What type of sponsorship are you interested in?</label> <ul class="checkbox-list"> <li> <input id="sponsor_lead" name="sponsor_lead" type="checkbox" /> <label for="sponsor_lead">Lead Sponsor</label> </li> <li> <input id="sponsor_speaking" name="sponsor_speaking" type="checkbox" /> <label for="sponsor_speaking">Speaking</label> </li> <li> <input id="sponsor_exhibit" name="sponsor_exhibit" type="checkbox" /> <label for="sponsor_exhibit">Exhibit</label> </li> <li> <input id="sponsor_networking" name="sponsor_networking" type="checkbox" /> <label for="sponsor_networking">Networking Reception Sponsor</label> </li> <li> <input id="sponsor_coffee" name="sponsor_coffee" type="checkbox" /> <label for="sponsor_coffee">Coffee/Tea Break Sponsor</label> </li> <li> <input id="sponsor_lunch" name="sponsor_lunch" type="checkbox" /> <label for="sponsor_lunch">Lunch Sponsor</label> </li> <li> <input id="sponsor_branding" name="sponsor_branding" type="checkbox" /> <label for="sponsor_branding">Branding Package</label> </li> <li> <input id="sponsor_lanyards" name="sponsor_lanyards" type="checkbox" /> <label for="sponsor_lanyards">Lanyards Sponsor</label> </li> </ul> </div> <div class="indent"> <div class="ctrl-grp"> <label>Organisation*</label> <input type="text" id="sponsor_org" name="sponsor_org" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp hidden"> <label>Website</label> <input type="text" id="sponsor_website" name="sponsor_website" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Job Title*</label> <input type="text" id="sponsor_jobtitle" name="sponsor_jobtitle" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Title</label>  <select id="sponsorVar_title" name="sponsorVar_title" class="form-control title_group" style="" spellcheck="false"> <option>Mr</option> <option>Mrs</option> <option>Miss</option> <option>Ms</option> <option>Dr</option> <option selected="selected">Select ...</option> <option>1st Lieutenant</option> <option>1st Sergeant</option> <option>2nd Lieutenant</option> <option>Admiral</option> <option>Admiral Sir</option> <option>Air Chief Marshall</option> <option>Air Commodore</option> <option>Air Marshal</option> <option>Air Vice Marshal</option> <option>Ambassador</option> <option>Archbishop</option> <option>Assistant Chief Constable</option> <option>Assistant Commissioner</option> <option>Assistant Director</option> <option>Assistant Professor</option> <option>Associate Professor</option> <option>Attorney</option> <option>Baron</option> <option>Baroness</option> <option>Bishop</option> <option>blank</option> <option>Brigadier</option> <option>Brigadier General</option> <option>Brigadier General (Ret’d)</option> <option>Brother</option> <option>Bsc</option> <option>Captain</option> <option>Chairman</option> <option>Chef de service administratif</option> <option>Chef D'escadron</option> <option>Chief</option> <option>Chief Constable</option> <option>Chief Inspector</option> <option>Chief Mast Sergeant</option> <option>Chief Petty Officer</option> <option>Chief Sergeant</option> <option>Chief Superintendent</option> <option>Colonel</option> <option>Colonel (Ret’d)</option> <option>Commandant</option> <option>Commander</option> <option>Commander Captain</option> <option>Commander General</option> <option>Commissaire Capitaine</option> <option>Commissaire Colonel</option> <option>Commissaire commandant</option> <option>Commissaire en chef</option> <option>Commissaire General</option> <option>Commissaire General de brigade</option> <option>Commissaire general de division</option> <option>Commissaire lieutenant</option> <option>Commissaire Lieutenant Colonel</option> <option>Commissaire principal</option> <option>Commissioner</option> <option>Commodore</option> <option>Commodore (Ret’d)</option> <option>Congressman</option> <option>Contre-Amiral</option> <option>Controleur des Armees</option> <option>Controleur general des armees</option> <option>Corporal</option> <option>Councillor</option> <option>Dame</option> <option>Datuk</option> <option>Deputy</option> <option>Deputy Assistant Commissioner</option> <option>Deputy Chief Constable</option> <option>Deputy Commissioner</option> <option>Deputy Director General</option> <option>Detective</option> <option>Detective Chief Inspector</option> <option>Detective Constable</option> <option>Detective Inspector</option> <option>Detective Sargeant</option> <option>Detective Superintendent</option> <option>Director</option> <option>Doctor</option> <option>Earl</option> <option>Esq</option> <option>Father</option> <option>Federal Agent</option> <option>Flight Lieutenant</option> <option>Flight Sergeant</option> <option>Frau</option> <option>Frau Dr</option> <option>General</option> <option>General (Ret'd)</option> <option>General Manager</option> <option>General Sir</option> <option>Governor</option> <option>Grand Duke</option> <option>Group Captain</option> <option>Herr</option> <option>Herr Dr</option> <option>His Excellency</option> <option>His Grace Most Rev</option> <option>His Highness</option> <option>His Honour</option> <option>His Majesty King</option> <option>His Royal Highness</option> <option>His Royal Highness Prince</option> <option>Honourable</option> <option>Honourable Dr</option> <option>Honourable Judge</option> <option>Honourable Mr Justice</option> <option>Ing</option> <option>Ingenieur des ETA</option> <option>Ingenieur d'etudes et de fabrications</option> <option>Ingenieur divissionaire des TPE</option> <option>Ingenieur en chef 1c des ETTM</option> <option>Ingenieur en chef de l'armement</option> <option>Ingenieur en chef de l'armentent</option> <option>Ingenieur en chef des ETA</option> <option>Ingenieur en chef des P et C</option> <option>Ingenieur general 2c de l'armemnt</option> <option>Ingenieur general de l'armement</option> <option>Ingenieur General hc de l'armement</option> <option>Ingenieur principal de l'armement</option> <option>Ingenieur principal des ETA</option> <option>Inspecteur principal des impots</option> <option>Inspector</option> <option>Inspector General</option> <option>Judge</option> <option>King</option> <option>Lady</option> <option>Lieutenant</option> <option>Lieutenant Commander</option> <option>Lieutenant Colonel</option> <option>Lieutenant Colonel (Ret'd)</option> <option>Lieutenant Commander</option> <option>Lieutenant General</option> <option>Lieutenant General Sir</option> <option>Lord</option> <option>Ma</option> <option>Madame</option> <option>Magistrat Lieutenant Colonel</option> <option>Major</option> <option>Major (Ret'd)</option> <option>Major Brigadier</option> <option>Major General</option> <option>Major General (ret'd)</option> <option>Major Sargeant</option> <option>Managing Director</option> <option>Master Sergeant</option> <option>Minister</option> <option>Monsieur</option> <option>Monsignor</option> <option>Most Reverend</option> <option>Most Reverend Archbishop</option> <option>Most Reverend Bishop</option> <option>Most Reverend Dr</option> <option>MP</option> <option>Mr.</option> <option>Ms.</option> <option>Msc</option> <option>myt</option> <option>Ph.D</option> <option>Police Constable</option> <option>Police Director</option> <option>President</option> <option>President & Chief Executive Officer</option> <option>Prince</option> <option>Prof</option> <option>Professor</option> <option>Professor Dame</option> <option>Professor Dr</option> <option>Rear Admiral</option> <option>Reverend</option> <option>Reverend Dr</option> <option>Reverend Professor</option> <option>Right Admiral</option> <option>Right Honourable</option> <option>Right Rev</option> <option>Rt Hon</option> <option>Rt Hon Dame</option> <option>Rt Hon Lord</option> <option>Rt Hon Lord Justice</option> <option>Rt Hon Sir</option> <option>Rt Honourable</option> <option>Rt Rev</option> <option>Rt Rev Dr</option> <option>Rt Rev Lord</option> <option>Rt Rev Mgr</option> <option>Rt Rev Monsignor</option> <option>Rt. Hon</option> <option>Senator</option> <option>Senior General</option> <option>Sergeant</option> <option>Sergeant Major</option> <option>Sheikh</option> <option>Sir</option> <option>Sister</option> <option>Sous-lieutenant</option> <option>Squadron Leader</option> <option>Squadron Leader (Ret'd)</option> <option>Staff Brigadier</option> <option>Staff Sergeant</option> <option>Sultan</option> <option>Superintendent</option> <option>Surgeon Commodore</option> <option>Surgeon Rear Admiral</option> <option>Surgeon Vice Admiral</option> <option>The Honourable</option> <option>The Honourable Dr</option> <option>The Honourable Lord</option> <option>The Honourable Miss</option> <option>The Honourable Mr</option> <option>The Honourable Mr Justice</option> <option>The Most Reverend</option> <option>The Right Honourable</option> <option>The Right Honourable Baroness</option> <option>The Right Honourable Lord</option> <option>The Right Honourable Sir</option> <option>The Right Reverend</option> <option>Very Reverend</option> <option>Very Reverend Dr</option> <option>Vice Admiral</option> <option>Vice Admiral d'escadre</option> <option>Vice Admiral Sir</option> <option>Vice Amiral d'escadre</option> <option>Vice Chairman</option> <option>Vice President</option> <option>Viscount</option> <option>Warrant Officer</option> <option>Wing Commander</option> <option>Other</option> </select> <div style="display:none;"> <input type="text" id="sponsor_title_other" name="sponsor_title_other" value="" class="form-control title_group" style="margin:10px 0 0 178px; background-color: #ccc;" spellcheck="false" disabled="disabled" /> </div> <script> $(document).ready(function () { $("#sponsorVar_title").change(function () { if ($("option:selected", this).text() == 'Other') { $('#sponsor_title_other').prop('disabled', false); $('#sponsor_title_other').css({ 'background-color': '#fff' }); $('#sponsor_title_other').parent().slideDown(); } else { $('#sponsor_title_other').val(''); $('#sponsor_title_other').prop('disabled', true); $('#sponsor_title_other').css({ 'background-color': '#ccc' }); $('#sponsor_title_other').parent().slideUp(); } }); }); </script> </div> <div class="ctrl-grp"> <label>First Name*</label> <input type="text" id="sponsor_firstname" name="sponsor_firstname" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Surname*</label> <input type="text" id="sponsor_surname" name="sponsor_surname" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Email*</label> <input type="text" id="sponsor_email" name="sponsor_email" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label>Phone*</label> <input type="text" id="sponsor_phone" name="sponsor_phone" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp ffh"> <label>Address*</label> <input type="text" id="sponsor_add" name="sponsor_add" value="" class="form-control" spellcheck="false" /> </div> </div> <div class="ctrl-grp hidden"> <label class="title">What are your sponsorship goals?</label> <textarea id="sponsor_goals" name="sponsor_goals" class="form-control"></textarea> </div> <div class="ctrl-grp checkbox-grp hidden"> <div><input id="sponsor_returning" name="sponsor_returning" type="checkbox" value="true"></div> <label for="sponsor_returning">I'm a returning sponsor from a previous event</label> </div> <div class="ctrl-grp hidden"> <label class="title">Where did you hear about SAE Media Group?</label> <input id="sponsor_hear" name="sponsor_hear" type="text" value="" class="form-control" /> </div> <input id="sponsor_submit" type="submit" value="SUBMIT DETAILS" class="log_btn" /> </form> </div> </div> </div> <div id="pop-login" class="white-popup mfp-hide"> <div style="width: 100%"> <h3> SIGN UP OR LOGIN</h3> <div class="register_sec"> <div class="sign_linkd hidden"> <a href="javascript:void(0)">SIGN UP/LOG IN with linked in</a> </div> <form id="login_form" action="" method="post"> <input id="login_reload" type="hidden" value="" /> <div class="indent"> <div class="ctrl-grp"> <label> EMAIL*</label> <input id="login_email" name="login_email" type="text" value="" class="form-control" spellcheck="false" /> </div> <div class="ctrl-grp"> <label> PASSWORD*</label> <input id="login_password" name="login_password" type="password" value="" class="form-control" autocomplete="off" /> </div> </div> <div class="ctrl-grp checkbox-grp"> <input id="login_rememberme" name="login_rememberme" type="checkbox" /> <label for="login_rememberme"> Keep me signed in</label> </div> <div> <a href="#pop-register" id="sign_btn_link" class="open-popup-link sign_btn">Sign up</a> <input id="login_button" type="submit" value="Log In" class="log_btn" /> </div> <div style="margin-top: 20px;"> <a href="#pop-forgot" class="open-popup-link">Forgotten Password?</a> </div> </form> <div id="login_failed" style="display: none"> <p> Sorry, the login details you entered were not found. Please try again. Alternatively you may register a new account <a href="#pop-register" class="open-popup-link">here</a>. </p> <p> Accounts are locked after <span id="ctl00_popupLogin_maxAttempts">5</span> failed attempts.</p> </div> </div> </div> </div> <div id="pop-register" class="white-popup mfp-hide"> <div style="width: 100%"> <center> <img src="/_images/newsite/logo.png" style="text-align: center" /></center> <div class="register_sec"> <form id="register_form" action="" method="post"> <div class="indent"> <div class="ctrl-grp"> <label> EMAIL*</label> <input id="register_email" name="register_email" type="text" value="" class="form-control" /> </div> <div class="ctrl-grp"> <label> PASSWORD*</label> <input id="register_password" name="register_password" type="password" value="" class="form-control" /> </div> <div class="ctrl-grp"> <label> CONFIRM*</label> <input id="register_confirm" name="register_confirm" type="password" value="" class="form-control" /> </div> <div class="ctrl-grp"> <label>TITLE*</label>  <select id="register_title" name="register_title" class="form-control title_group" style="" spellcheck="false"> <option>Mr</option> <option>Mrs</option> <option>Miss</option> <option>Ms</option> <option>Dr</option> <option selected="selected">Select ...</option> <option>1st Lieutenant</option> <option>1st Sergeant</option> <option>2nd Lieutenant</option> <option>Admiral</option> <option>Admiral Sir</option> <option>Air Chief Marshall</option> <option>Air Commodore</option> <option>Air Marshal</option> <option>Air Vice Marshal</option> <option>Ambassador</option> <option>Archbishop</option> <option>Assistant Chief Constable</option> <option>Assistant Commissioner</option> <option>Assistant Director</option> <option>Assistant Professor</option> <option>Associate Professor</option> <option>Attorney</option> <option>Baron</option> <option>Baroness</option> <option>Bishop</option> <option>blank</option> <option>Brigadier</option> <option>Brigadier General</option> <option>Brigadier General (Ret’d)</option> <option>Brother</option> <option>Bsc</option> <option>Captain</option> <option>Chairman</option> <option>Chef de service administratif</option> <option>Chef D'escadron</option> <option>Chief</option> <option>Chief Constable</option> <option>Chief Inspector</option> <option>Chief Mast Sergeant</option> <option>Chief Petty Officer</option> <option>Chief Sergeant</option> <option>Chief Superintendent</option> <option>Colonel</option> <option>Colonel (Ret’d)</option> <option>Commandant</option> <option>Commander</option> <option>Commander Captain</option> <option>Commander General</option> <option>Commissaire Capitaine</option> <option>Commissaire Colonel</option> <option>Commissaire commandant</option> <option>Commissaire en chef</option> <option>Commissaire General</option> <option>Commissaire General de brigade</option> <option>Commissaire general de division</option> <option>Commissaire lieutenant</option> <option>Commissaire Lieutenant Colonel</option> <option>Commissaire principal</option> <option>Commissioner</option> <option>Commodore</option> <option>Commodore (Ret’d)</option> <option>Congressman</option> <option>Contre-Amiral</option> <option>Controleur des Armees</option> <option>Controleur general des armees</option> <option>Corporal</option> <option>Councillor</option> <option>Dame</option> <option>Datuk</option> <option>Deputy</option> <option>Deputy Assistant Commissioner</option> <option>Deputy Chief Constable</option> <option>Deputy Commissioner</option> <option>Deputy Director General</option> <option>Detective</option> <option>Detective Chief Inspector</option> <option>Detective Constable</option> <option>Detective Inspector</option> <option>Detective Sargeant</option> <option>Detective Superintendent</option> <option>Director</option> <option>Doctor</option> <option>Earl</option> <option>Esq</option> <option>Father</option> <option>Federal Agent</option> <option>Flight Lieutenant</option> <option>Flight Sergeant</option> <option>Frau</option> <option>Frau Dr</option> <option>General</option> <option>General (Ret'd)</option> <option>General Manager</option> <option>General Sir</option> <option>Governor</option> <option>Grand Duke</option> <option>Group Captain</option> <option>Herr</option> <option>Herr Dr</option> <option>His Excellency</option> <option>His Grace Most Rev</option> <option>His Highness</option> <option>His Honour</option> <option>His Majesty King</option> <option>His Royal Highness</option> <option>His Royal Highness Prince</option> <option>Honourable</option> <option>Honourable Dr</option> <option>Honourable Judge</option> <option>Honourable Mr Justice</option> <option>Ing</option> <option>Ingenieur des ETA</option> <option>Ingenieur d'etudes et de fabrications</option> <option>Ingenieur divissionaire des TPE</option> <option>Ingenieur en chef 1c des ETTM</option> <option>Ingenieur en chef de l'armement</option> <option>Ingenieur en chef de l'armentent</option> <option>Ingenieur en chef des ETA</option> <option>Ingenieur en chef des P et C</option> <option>Ingenieur general 2c de l'armemnt</option> <option>Ingenieur general de l'armement</option> <option>Ingenieur General hc de l'armement</option> <option>Ingenieur principal de l'armement</option> <option>Ingenieur principal des ETA</option> <option>Inspecteur principal des impots</option> <option>Inspector</option> <option>Inspector General</option> <option>Judge</option> <option>King</option> <option>Lady</option> <option>Lieutenant</option> <option>Lieutenant Commander</option> <option>Lieutenant Colonel</option> <option>Lieutenant Colonel (Ret'd)</option> <option>Lieutenant Commander</option> <option>Lieutenant General</option> <option>Lieutenant General Sir</option> <option>Lord</option> <option>Ma</option> <option>Madame</option> <option>Magistrat Lieutenant Colonel</option> <option>Major</option> <option>Major (Ret'd)</option> <option>Major Brigadier</option> <option>Major General</option> <option>Major General (ret'd)</option> <option>Major Sargeant</option> <option>Managing Director</option> <option>Master Sergeant</option> <option>Minister</option> <option>Monsieur</option> <option>Monsignor</option> <option>Most Reverend</option> <option>Most Reverend Archbishop</option> <option>Most Reverend Bishop</option> <option>Most Reverend Dr</option> <option>MP</option> <option>Mr.</option> <option>Ms.</option> <option>Msc</option> <option>myt</option> <option>Ph.D</option> <option>Police Constable</option> <option>Police Director</option> <option>President</option> <option>President & Chief Executive Officer</option> <option>Prince</option> <option>Prof</option> <option>Professor</option> <option>Professor Dame</option> <option>Professor Dr</option> <option>Rear Admiral</option> <option>Reverend</option> <option>Reverend Dr</option> <option>Reverend Professor</option> <option>Right Admiral</option> <option>Right Honourable</option> <option>Right Rev</option> <option>Rt Hon</option> <option>Rt Hon Dame</option> <option>Rt Hon Lord</option> <option>Rt Hon Lord Justice</option> <option>Rt Hon Sir</option> <option>Rt Honourable</option> <option>Rt Rev</option> <option>Rt Rev Dr</option> <option>Rt Rev Lord</option> <option>Rt Rev Mgr</option> <option>Rt Rev Monsignor</option> <option>Rt. Hon</option> <option>Senator</option> <option>Senior General</option> <option>Sergeant</option> <option>Sergeant Major</option> <option>Sheikh</option> <option>Sir</option> <option>Sister</option> <option>Sous-lieutenant</option> <option>Squadron Leader</option> <option>Squadron Leader (Ret'd)</option> <option>Staff Brigadier</option> <option>Staff Sergeant</option> <option>Sultan</option> <option>Superintendent</option> <option>Surgeon Commodore</option> <option>Surgeon Rear Admiral</option> <option>Surgeon Vice Admiral</option> <option>The Honourable</option> <option>The Honourable Dr</option> <option>The Honourable Lord</option> <option>The Honourable Miss</option> <option>The Honourable Mr</option> <option>The Honourable Mr Justice</option> <option>The Most Reverend</option> <option>The Right Honourable</option> <option>The Right Honourable Baroness</option> <option>The Right Honourable Lord</option> <option>The Right Honourable Sir</option> <option>The Right Reverend</option> <option>Very Reverend</option> <option>Very Reverend Dr</option> <option>Vice Admiral</option> <option>Vice Admiral d'escadre</option> <option>Vice Admiral Sir</option> <option>Vice Amiral d'escadre</option> <option>Vice Chairman</option> <option>Vice President</option> <option>Viscount</option> <option>Warrant Officer</option> <option>Wing Commander</option> <option>Other</option> </select> <div style="display:none;"> <input type="text" id="register_title_other" name="register_title_other" value="" class="form-control title_group" style="margin:10px 0 0 178px; background-color: #ccc;" spellcheck="false" disabled="disabled" /> </div> <script> $(document).ready(function () { $("#register_title").change(function () { if ($("option:selected", this).text() == 'Other') { $('#register_title_other').prop('disabled', false); $('#register_title_other').css({ 'background-color': '#fff' }); $('#register_title_other').parent().slideDown(); } else { $('#register_title_other').val(''); $('#register_title_other').prop('disabled', true); $('#register_title_other').css({ 'background-color': '#ccc' }); $('#register_title_other').parent().slideUp(); } }); }); </script> </div> <div class="ctrl-grp"> <label> FIRST NAME*</label> <input id="register_firstname" name="register_firstname" type="text" value="" class="form-control" /> </div> <div class="ctrl-grp"> <label> SURNAME*</label> <input id="register_surname" name="register_surname" type="text" value="" class="form-control" /> </div> <div class="ctrl-grp"> <label> COUNTRY*</label> <select id="register_country" name="register_country" class="register-select"> <option value="">Select ...</option><option value="222">United Kingdom</option><option value="223">USA</option><option value="85">Germany</option><option value="78">France</option><option value="108">Italy</option><option value="102">India</option><option value="154">Netherlands</option><option value="205">Switzerland</option><option value="26">Belgium</option><option value="">------------------------------</option><option value="1">Afghanistan</option><option value="2">Albania</option><option value="3">Algeria</option><option value="4">American Samoa</option><option value="5">Andorra</option><option value="6">Angola</option><option value="7">Anguilla</option><option value="8">Antarctica-Casey</option><option value="9">Antarctica-Scott</option><option value="10">Antigua and Barbuda</option><option value="11">Argentina</option><option value="12">Armenia</option><option value="13">Aruba</option><option value="14">Ascension Islands</option><option value="15">Ashmore & Cartier Islands</option><option value="16">Atlantic East</option><option value="17">Atlantic West</option><option value="18">Australia</option><option value="19">Austria</option><option value="20">Azerbaijan</option><option value="21">Bahamas</option><option value="22">Bahrain</option><option value="23">Bangladesh</option><option value="24">Barbados</option><option value="25">Belarus</option><option value="27">Belize</option><option value="28">Benin</option><option value="29">Bermuda</option><option value="30">Bhutan</option><option value="31">Bolivia</option><option value="32">Bosnia and Herzegovina</option><option value="33">Botswana</option><option value="34">Brazil</option><option value="36">Brunei Darussalam</option><option value="37">Bulgaria</option><option value="38">Burkina Faso</option><option value="39">Burma</option><option value="40">Burundi</option><option value="41">Cambodia</option><option value="42">Cameroon</option><option value="43">Canada</option><option value="240">Canary Islands</option><option value="44">Cape Verde</option><option value="45">Cayman Islands</option><option value="46">Central African Republic</option><option value="47">Chad</option><option value="48">Chile</option><option value="49">China</option><option value="50">Christmas Island</option><option value="51">Clipperton Island</option><option value="52">Cocos (Keeling) Islands</option><option value="53">Colombia</option><option value="54">Comoros</option><option value="55">Congo</option><option value="56">Cook Islands</option><option value="57">Costa Rica</option><option value="58">Croatia</option><option value="59">Cuba</option><option value="60">Cyprus</option><option value="61">Czech Republic</option><option value="62">Denmark</option><option value="63">Djibouti</option><option value="64">Dominica</option><option value="65">Dominican Republic</option><option value="241">Easter Island</option><option value="67">Ecuador</option><option value="68">Egypt</option><option value="69">El Salvador</option><option value="70">Equatorial Guinea</option><option value="71">Eritrea</option><option value="72">Estonia</option><option value="73">Ethiopia</option><option value="254">Europe</option><option value="74">Falkland Islands</option><option value="75">Faroe Islands</option><option value="76">Fiji</option><option value="77">Finland</option><option value="79">French Guiana</option><option value="80">French Polynesia</option><option value="81">Gabon</option><option value="242">Galapagos Islands</option><option value="82">Gambia</option><option value="83">Gaza Strip</option><option value="84">Georgia</option><option value="86">Ghana</option><option value="87">Gibraltar</option><option value="88">Greece</option><option value="89">Greenland</option><option value="90">Grenada</option><option value="91">Guadeloupe</option><option value="92">Guam</option><option value="93">Guatemala</option><option value="94">Guinea</option><option value="95">Guinea-Bissau</option><option value="96">Guyana</option><option value="97">Haiti</option><option value="252">Hawaii</option><option value="98">Honduras</option><option value="99">Hong Kong</option><option value="100">Hungary</option><option value="101">Iceland</option><option value="103">Indonesia</option><option value="104">Iran, Islamic Republic of</option><option value="105">Iraq</option><option value="106">Ireland</option><option value="107">Israel</option><option value="110">Ivory Coast</option><option value="111">Jamaica</option><option value="112">Japan</option><option value="113">Jordan</option><option value="114">Kazakhstan</option><option value="115">Kenya</option><option value="116">Kiribati</option><option value="119">Kuwait</option><option value="120">Kyrgyzstan</option><option value="121">Laos</option><option value="122">Latvia</option><option value="123">Lebanon</option><option value="124">Lesotho</option><option value="125">Liberia</option><option value="126">Libya</option><option value="127">Liechtenstein</option><option value="128">Lithuania</option><option value="129">Luxembourg</option><option value="130">Macau</option><option value="131">Macedonia</option><option value="132">Madagascar</option><option value="133">Malawi</option><option value="134">Malaysia</option><option value="135">Maldives</option><option value="136">Mali</option><option value="137">Malta</option><option value="163">Marianas Islands</option><option value="138">Marshall Islands</option><option value="139">Martinique</option><option value="140">Mauritania</option><option value="141">Mauritius</option><option value="142">Mayotte Islands</option><option value="143">Mexico</option><option value="144">Micronesia</option><option value="145">Moldova</option><option value="146">Monaco</option><option value="147">Mongolia</option><option value="244">Montenegro</option><option value="148">Montserrat</option><option value="149">Morocco</option><option value="150">Mozambique</option><option value="245">Myanmar</option><option value="151">Namibia</option><option value="152">Nauru</option><option value="153">Nepal</option><option value="155">Netherlands Antilles</option><option value="156">New Caledonia</option><option value="157">New Zealand</option><option value="158">Nicaragua</option><option value="159">Niger</option><option value="160">Nigeria</option><option value="161">Niue</option><option value="255">None</option><option value="162">Norfolk Island</option><option value="117">North Korea</option><option value="164">Norway</option><option value="165">Oman</option><option value="166">Pakistan</option><option value="167">Palau</option><option value="251">Palestine</option><option value="168">Panama</option><option value="169">Papua New Guinea</option><option value="170">Paraguay</option><option value="171">Peru</option><option value="172">Philippines</option><option value="173">Poland</option><option value="174">Portugal</option><option value="175">Puerto Rico</option><option value="176">Qatar</option><option value="177">Réunion</option><option value="178">Romania</option><option value="179">Russia</option><option value="180">Rwanda</option><option value="181">Saint Helena</option><option value="182">Saint Kitts and Nevis</option><option value="183">Saint Lucia</option><option value="184">Saint Vincent/Grenadines</option><option value="185">Samoa</option><option value="186">San Marino</option><option value="187">Sao Tome</option><option value="188">Saudi Arabia</option><option value="253">Scotland</option><option value="189">Senegal</option><option value="246">Serbia</option><option value="190">Seychelles</option><option value="191">Sierra Leone</option><option value="192">Singapore</option><option value="193">Slovakia</option><option value="194">Slovenia</option><option value="195">Solomon Islands</option><option value="196">Somalia</option><option value="197">Somoa Western</option><option value="198">South Africa</option><option value="118">South Korea</option><option value="199">Spain</option><option value="200">Sri Lanka</option><option value="201">Sudan</option><option value="202">Suriname</option><option value="203">Swaziland</option><option value="204">Sweden</option><option value="206">Syria</option><option value="247">Tahiti</option><option value="207">Taiwan</option><option 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