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Top Biopharma | Protein & Antibody Engineering Summit | 5-7 November 2024
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<div class="main-content"> <div id="cph1" class="container internal"> <div class="row"> <div class="row" data-sf-element="Row"> <div class="col-sm-9"> <div id="Contentplaceholder1_T14051A0F003_Col00" class="sf_colsIn pad-lr" data-sf-element="Column 1" data-placeholder-label="Column 1"> <div > <div class="sf-Long-text" ><p class="pageTitle">50+ Presentations from Top Biopharma in 2024</p><p><b>Augmenting Antibody-Drug Discovery with Deep Screening and Machine Learning</b><br /><i>Christopher Wassif, PhD, Director, Molecular Engineering & Antibody Technologies, <b>AstraZeneca</b></i></p><p><b>Chimeric Antigens Displaying GPR65 Extracellular Loops for Antibody Discovery</b><br /><i>Cécile Galmiche, PhD, Senior Scientist, Antibody Discovery, <b>UCB</b></i></p><p><b>Considerations for the Successful Development of Targeted Radiotherapies</b><br /><i>Urs B. Hagemann, PhD, Head, Targeted Radiopharmaceuticals, Research & Early Development Oncology, <b>Bayer AG</b></i></p><p><b>Exploring Non-Canonical Disulfide in Rabbit Antibody: Developability, Structure, and Engineering</b><br /><i>Wei-Ching Liang, PhD, Staff Scientist, Antibody Engineering, <b>Genentech, Inc.</b></i></p><p><b>Development of a Novel Antibody-Based Oral Factor VIII Mimetic Drug Candidate (Inno8)</b><br /><i>Jais R. Bjelke, PhD, Principal Scientist, Global Research, <b>Novo Nordisk AS</b></i></p><p><b>Enhancing Antibody Language Models with Structural Information</b><br /><i>Jinwoo Leem, PhD, Associate Director, Data Science, <b>Alchemab Therapeutics</b></i></p><p><b>Chain-Exchange and Split-Protein Technologies for the Generation of Targeted Antibody and Cytokine Prodrugs</b><br /><i>Vedran Vasic, PhD, Scientist, Pharma Research and Early Development (pRED), <b>Roche</b></i></p><p><b>Overcoming the Challenges with Raising Antibodies against STEAP2 Extracellular Domains for Targeted CAR T Cell Therapy</b><br /><i>Dewald van Dyk, PhD, Associate Director, Biologics Engineering, <b>AstraZeneca Pharmaceuticals LP</b></i></p><p><b>First-in-Human (FIH) Dose Selection for Biologic Modalities</b><br /><i>Celine Amara, Project Expert, DMPK, <b>Sanofi</b></i></p><p><b>Comparative Evaluation of Antigen Format Performance with Different Antibody Platforms</b><br /><i>Corey Smith, PhD, Principal Research Scientist, Global Biologics Protein Science, <b>AbbVie</b></i></p><p><b>Discovery Strategies for Antibodies Targeting Complex Multi-Spanning Membrane Proteins</b><br /><i>Trevor Wilkinson, PhD, Director, Biologics Engineering, <b>AstraZeneca</b></i></p><p><b>An Engineered IL15 Cytokine Mutein Fused to an Anti-PD1 Improves Intratumoral T Cell Function and</b> <b>Antitumour Immunity</b><br /><i>Javier Chaparro-Riggers, PhD, Executive Director, BioMedicine Design, <b>Pfizer Inc.</b></i></p><p><b>Bispecific and Trispecific T Cell Engagers for the Treatment of Hematological Malignancies</b><br /><i>Ulrike Philippar, PhD, Senior Director & Head, Oncology & Discovery Hematological Malignancies, <b>Johnson & Johnson Innovative Medicine</b></i></p><p><b>Preclinical Development of DuoBody-CD3-H101GxB7H4, a Novel CD3 Bispecific Antibody for the Treatment of Solid Cancers</b><br /><i>Marije Overdijk, PhD, Director, Team Lead Translational Research, <b>Genmab</b></i></p><p><b>High-Throughput Bispecific Antibody Production & Potential Applications within Discovery Workflows</b><br /><i>Charlotte H. Coles, PhD, Team Leader, <b>GSK</b></i></p><p><b>The Present and Future of Bispecific Antibodies for Cancer Therapy</b><br /><i>Christian Klein, PhD, Head, Oncology Programs and Department Head, Cancer Immunotherapy Discovery, Roche Innovation Center Zurich, <b>Roche Pharma Research & Early Development, pRED</b></i></p><p><b>Advancing Cancer Immunotherapy: Next-Generation T Cell Engagers Targeting CLDN6 via CD3/CD137 Binding</b><br /><i>Shinya Ishii, Senior Manager, Research Division, <b>Chugai Pharmaceutical Co. Ltd.</b></i></p><p><b>Design Meets Biology—Engineering Multispecific Modalities with Potentially Improved TI</b><br /><i>Yariv Mazor, PhD, Senior Director, R&D, Biologics Engineering, <b>AstraZeneca</b></i></p><p><b>A FAP-Targeted LTBR-Agonistic Bispecific Antibody Modulating the Tumour Microenvironment to Induce the Formation of HEV-Rich Immune Niches and Enhance CPI Efficacy</b><br /><i>Leo Kunz, PhD, Principal Scientist, <b>Roche</b></i></p><p><b>Emerging Role of Neutrophils in Anti-Tumour Immunity</b><br /><i>Rajkumar Noubade, PhD, Director, Oncology, <b>Gilead Sciences</b></i></p><p><b>De-Risking <i>in vivo</i> PK Attributes of Therapeutic Antibody Lead Panels Using High-Throughput <i>in vitro</i> Approaches as Part of Early Drug Discovery and Human Dose Prediction Strategy</b><br /><i>Jennifer Drew, Principal Investigator, <b>GlaxoSmithKline</b></i></p><p><b>Assessing and Optimising Developability for Multispecifics and Antibody-Drug Conjugates</b><br /><i>Andreas Evers, PhD, Associate Scientific Director, Antibody Discovery & Protein Engineering, Global Research & Development Discovery Technology, <b>Merck Healthcare KGaA</b></i></p><p><b>Advancing Biotherapeutic Developability: Computational Strategies across Diverse Therapeutic Modalities</b><br /><i>Goran Miličić, PhD, Senior Expert, Science & Technology, <b>Novartis</b></i></p><p><b><i>In silico</i> Developability for Biologics</b><br /><i>Isabelle Sermadiras, Associate Principal Scientist, <b>AstraZeneca</b></i></p><p><b>Insights from MAM Implementation at Roche/Genentech</b><br /><i>Alexander Buettner, PhD, Senior Scientist, Pharma Technical Development, <b>Roche</b></i></p><p><b>Unlocking the Power of Data: AbbVie's Digital Transformation Journey into CMC Biologics Development</b><br /><i>Dana I. Filoti, PhD, Associate Director of Scientific Architecture, Development Sciences Data and Digital Strategy, <b>Abbvie</b></i></p><p><b>Analytical Characterisation in ADC Discovery: Challenges & Approaches</b><br /><i>Elizabeth Love, PhD, Scientific Leader, Antibody Drug Conjugate Platform, <b>GSK</b></i></p><p><b>Development of Assay-Evaluating LINC Format of LINC-Ig</b><br /><i>Shusuke Nambu, PhD, Analytical Development Department, <b>Chugai Pharmaceutical Co. Ltd.</b></i></p><p><b>Comparison of Biosimilars and Innovative Biologics from an Analytical Perspective</b><br /><i>Sasa Vrhovec Hartman, PhD, Senior Expert, Science & Technology R&D, <b>Novartis Pharma Services Inc.</b></i></p><p><b>A Universal Tool for Stability Predictions of Biotherapeutics</b><br /><i>Heloise Quillay, PhD, Principal Scientist and Team Leader, CMC Analytics, <b>Sanofi</b></i></p><p><b>The Protein-Stabilising Capability of Surfactants against Agitation- and Surface-Induced Stresses</b><br /><i>Supriyadi Hafiz, Senior Scientist, Liquid Formulation R&D, <b>Merck Life Science KGaA</b></i></p><p><b>PS80 Oxidation Case Study: Impact of Tubing Material on Stability and Filling Accuracy of Biologic Drug Product</b><br /><i>Heloise Audat, Head, Formulation and Development Laboratory, Biologics Drug Product Development, <b>Sanofi</b></i><br /><i>Laetitia Poumarede, Drug Product Process Development Engineer, <b>Sanofi</b></i></p><p><b>Evaluating High-Concentration Solution Dynamics of Therapeutic Proteins in Biologics Research and Development</b><br /><i>Benjamin Weiche, PhD, Senior Scientist, Large Molecule Research, Biochemical & Analytical Research, <b>Roche Innovation Center Munich</b></i></p><p><b><i>In silico</i> Formulation Development for Protein-Based Therapeutics</b><br /><i>Giuseppe L. Licari, PhD, Lead Scientist, Computational Structural Biology, Global Drug Product Development—BDC, <b>Merck Serono SA</b></i></p><p><b>Learning from the Past: Use of <i>in silico</i> Models to Predict Physico-Chemical Profiles of Biotherapeutics</b><br /><i>Kannan Sankar, PhD, Senior Expert I, Data Science & Bioinformatics, <b>Novartis Institutes for Biomedical Research Inc.</b></i></p><p><b>Data Generation and Modelling in Combined Simulation and High-Throughput Screening for Biotherapeutic Formulation Development</b><br /><i>Maurizio Baldassarre, PhD, Associate Director & Head, Early Phase Drug Product Development, <b>Merck</b></i></p><p><b>Using Machine Learning to Predict Recombinant Protein Expression</b><br /><i>Sarah Caswell, PhD, Associate Principal Scientist, <b>AstraZeneca</b></i></p><p><b>Tailor-Made CHO Manufacturing Cell Lines Using Artificial Intronic miRNAs</b><br /><i>David Ausländer, PhD, Senior Principal Scientist & Group Head, Biologics Research Center, <b>Novartis AG</b></i></p><p><b>Mammalian Expression of Difficult-to-Express Proteins: Insights into BiTE Molecule Production Bottlenecks</b><br /><i>Benedikt Greck, Graduate Student, Large Molecular Discovery & Research Data Science, <b>Amgen Research Munich GmbH</b></i></p><p><b>Customisable Protein Expression</b><br /><i>Marina Fedorova, PhD, Scientific Investigator, Protein and Cellular Science, <b>GSK</b></i></p><p><b>Harnessing the Power of dPCR and NGS-Based Tools for Advanced Genetic Screening in Cell-Line</b> <b>Development</b><br /><i>Daniel Heinzelmann, Process Expert, Cell Line Development, <b>Boehringer Ingelheim Pharma GmbH & Co. KG</b></i></p><p><b>Using Stable Producer Cell Lines for Manufacturing of Lentiviral Vectors</b><br /><i>Jessica Vogel, Associate Scientist, BPD VVPD, <b>CSL Innovation GmbH</b></i></p><p><b>A Generic Approach for Miniaturised Unbiased Bispecific Antibody Screening via Automated Intein- or cFAE-Based Workflows</b><br /><i>Achim Doerner, PhD, Associate Director, Antibody Discovery & Protein Engineering, <b>Merck Healthcare KGaA</b></i></p><p><b>Accelerating Drug Discovery: High-Throughput Semi-Automated Expression Platform for Antibody Lead</b> <b>Generation</b><br /><i>Lucy Holt, PhD, Director, Large Molecule Discovery, <b>GSK</b></i></p><p><b>High-Throughput Analytics: Shaping Data-Driven Decisions in Biopharmaceutical Development</b><br /><i>Giulia Lambiase, PhD, Senior Scientist, Biopharmaceutical Development, <b>AstraZeneca</b></i></p><p><b>Scalable Active Learning for Therapeutic Antibody Design</b><br /><i>Nathan Frey, PhD, Senior Machine Learning Scientist, Prescient Design, <b>a Genentech Company</b></i></p><p><b>IBM Collaboration to Advance Generative AI and Foundation Models for Therapeutic Antibody Development</b><br /><i>Kausheek Nandy, Digital Transformation-Research, <b>Boehringer Ingelheim Pharmaceuticals Inc.</b></i></p><p><b>Pioneering Data-Driven Strategies in <i>de novo</i> Nanobody Design</b><br /><i>Roberto Spreafico, PhD, Director, Discovery Data Science, <b>Genmab</b></i></p><p><b>Antibody CDR Design by Ensembling Inverse Folding with Protein Language Models</b><br /><i>Diego Del Alamo, PhD, Computational Biologist, <b>GSK</b></i></p><p><b>Improved Antibody-Antigen Interaction Prediction Using Inverse Folding Latent Representations</b><br /><i>Paolo Marcatili, PhD, Director, Antibody Design, <b>Novo Nordisk</b></i></p><p><b>Preclinical Efficacy and Safety of a Novel Anti-CEA TOPO1i ADC M9140</b><br /><i>Min Shan, PhD, Medicinal Chemist, Targeted Therapeutics, <b>Merck KGaA</b></i></p><p><b>CEACAM5C, a Novel Topoisomerase I Inhibitor Antibody-Drug Conjugate Targeting CEACAM5 with High Preclinical Anti-Tumour Activity in CRC, PDAC, GC, and Lung Cancer Tumour Models</b><br /><i>Yves Baudat, Senior Scientist, Immuno Oncology, <b>Sanofi</b></i></p><p><b>Format Matters for ADCs: Generation of Binder-Format-Payload Conjugate Matrices by Antibody Chain Exchange</b><br /><i>Ulrich Brinkmann, PhD, Expert Scientist, Pharma Research & Early Development, <b>Roche Innovation Center, Munich</b></i></p><p class="pageTitle"> </p><p class="Header_Shaded"><i><b>* As of 18 June. 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