Michael Lingzhi Li - Faculty & Research

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class="span8"> <div class="tablet-visible mobile-visible"><img src="https://www.hbs.edu/Style%20Library/api/headshot.aspx?id=1432015" class="fluid" style="border: 3px solid black;" alt="Michael Lingzhi Li" width="200" height="200"><div class="shim5 mobile-visible"></div> </div> <div class="profile-section-top-left"> <h1 class="alpha">Michael Lingzhi Li</h1> <div class="shim20 desktop-visible"></div> <h2 class="eta-uc bold2 subtitle desktop-visible">Assistant Professor of Business Administration</h2> <div class="shim5 desktop-hidden"></div> <h2 class="kappa-uc bold2 subtitle desktop-hidden">Assistant Professor of Business Administration</h2> <div class="tablet-hidden mobile-hidden"> <div class="shim22"></div> <div class="briefbio"> <div class="contents" xml:space="preserve"><p class="xmsonormal">Michael Lingzhi Li is an Assistant Professor in the Technology and Operations Management unit at HBS. He teaches the first-year TOM course in the required curriculum.</p> <p class="xmsonormal">Professor Li’s research focuses on the end-to-end development of decision algorithms based on machine learning, causal inference and operations research. He examines the implementation of such algorithms in hospitals, pharmaceutical companies, and public health organizations, and their potential to fundamentally transform healthcare operations. He is the recipient of awards including the 2022 INFORMS Edelman Finalist, the 2021 INFORMS Pierskalla Award, and the 2021 Innovative Applications in Analytics Award.</p> <p class="xmsonormal">Professor Li holds a PhD in Operations Research and a Master’s in Business Analytics from MIT, along with a Bachelor of Arts from the University of Cambridge. In his free time, Professor Li enjoys hiking, swimming, and discovering new restaurants in Boston.</p> </div> <div class="toggle-bio"></div> </div> <div class="fullbio" style="display:none;"> <div class="toggle-bio"> <div style="padding-top: 20px;"><a class="toggle-button kappa-uc moreless" href="#"><span class="icon-collapse" style="padding-right:5px"></span>Less</a></div> </div> </div> <div class="shim20"></div> </div> </div> <div class="tablet-visible mobile-visible"> <div class="shim10"></div> <div class="nu">Technology and Operations Management</div> <div class="shim10"></div> <div class="mu-uc"><a href="tel:+1(617) 495-8685" class="black">+1 (617) 495-8685</a></div> </div> </div> <div class="span1"> </div> <div class="span3 tablet-span12 vrule-offset"> <div class="tablet-hidden mobile-hidden profile-section-top-right"> <div class="shim10"></div><img src="https://www.hbs.edu/Style%20Library/api/headshot.aspx?id=1432015" class="fluid" style="border: 3px solid black;" alt="Michael Lingzhi Li" width="200" height="200"><div class="shim5 mobile-visible"></div> <div class="shim15"></div> <div class="mu-uc">Unit</div> <div><a href="/faculty/units/tom/Pages/default.aspx">Technology and Operations Management</a></div> <div class="shim15"></div> <div class="mu-uc">Contact Information</div> <div>(617) 495-8685</div> </div> </div> </div> <div class="desktop-visible"> <div class="row tablet-row"> <div class="span9 tablet-span12"> <div class="page-tabs-container"> <table class="page-tabs nav-tabs table-overflow tabs-hero" style="margin-bottom:-1px;"> <tr> <td><a href="?facId=1432015&click=byline&view=publications" data-tab="publications" class="mu-uc current">Publications</a></td> <td><a href="?facId=1432015&click=byline&view=awards" data-tab="awards" class="inherit-light-bg black white-color-onhover">Awards & Honors</a></td> </tr> </table> </div> </div> </div> </div> </div> </div> <div class="container tablet-container mobile-container vrule9"> <div class="row tablet-row mobile-row"> <div class="span9 tablet-span12 body h3-kappa" data-wcm-edit-url=""> <div class="cap tablet-cap mobile-cap"></div> <div class="tablet-hidden mobile-hidden"> <div id="publications" class="tabcontent current" data-wcm-edit-url=""> <div class="row tablet-row mobile-row "> <div class="span9 "> <div class="row tablet-row mobile-row"> <div class="span8 tablet-span12 mobile-span12"> <div class="toggle-container"> <h3 class="eta-uc"> <div class="toggle-show"><a href="#" class="toggle-button black"><span class="icon-collapse" style="margin-right:10px;margin-bottom:5px;"></span>Journal Articles</a></div> <div class="toggle-hide"><a href="#" class="toggle-button black"><span class="icon-expand" style="margin-right:10px;margin-bottom:5px;"></span>Journal Articles</a></div> </h3> <div class="clear"></div> <div class="toggle-hide has-slide"> <ul class="unstyled list-publications add-underline" style="margin-top: 25px;"> <li> <div>Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. <A HREF="https://pubsonline.informs.org/doi/abs/10.1287/inte.2022.1150">"Data-Driven COVID-19 Vaccine Development for Janssen."</A> <I>INFORMS Journal on Applied Analytics</I> 53, no. 1 (January–February 2023): 70–84. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66918" aria-label="View Details about Data-Driven COVID-19 Vaccine Development for Janssen Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Imai, Kosuke, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=indtreat_JASA2.pdf">"Experimental Evaluation of Individualized Treatment Rules."</A> <I>Journal of the American Statistical Association</I> 118, no. 541 (2023): 242–256. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=63053" aria-label="View Details about Experimental Evaluation of Individualized Treatment Rules Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2020.06.23.20138693.full.pdf">"Forecasting COVID-19 and Analyzing the Effect of Government Interventions."</A> <I>Operations Research</I> 71, no. 1 (January–February 2023): 184–201. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64644" aria-label="View Details about Forecasting COVID-19 and Analyzing the Effect of Government Interventions Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Imai, Kosuke, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2203.14511v3.pdf">"Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments."</A> <I>Journal of Business & Economic Statistics</I> 43, no. 1 (2025): 256–268. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66242" aria-label="View Details about Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2102.10773v5.pdf">"Slowly Varying Regression Under Sparsity."</A> <I>Operations Research</I> (forthcoming). (Pre-published online March 27, 2024.) <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66889" aria-label="View Details about Slowly Varying Regression Under Sparsity Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Li, Michael Lingzhi, and Kosuke Imai. <A HREF="https://doi.org/10.1515/jci-2023-0072">"Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules."</A> <I>Journal of Causal Inference</I> 12, no. 1 (2024). <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66243" aria-label="View Details about Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Jacquillat, Alexandre, Michael Lingzhi Li, Martin Ramé, and Kai Wang. <A HREF="https://doi.org/10.1287/opre.2023.0308">"Branch-and-Price for Prescriptive Contagion Analytics."</A> <I>Operations Research</I> (forthcoming). (Pre-published online March 13, 2024.) <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65743" aria-label="View Details about Branch-and-Price for Prescriptive Contagion Analytics Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. <A HREF="https://www.sciencedirect.com/science/article/pii/S147751312300503X">"A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification."</A> <I>Journal of Pediatric Urology</I> 20, no. 2 (April 2024): 271–278. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65003" aria-label="View Details about A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. <A HREF="https://arxiv.org/abs/2306.03030">"Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset."</A> <I>Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track</I> 36 (2023). <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65001" aria-label="View Details about Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Cramer, Estee Y., Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li, and et al. <A HREF="https://www.pnas.org/doi/abs/10.1073/pnas.2113561119">"Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States."</A> e2113561119. <I>Proceedings of the National Academy of Sciences</I> 119, no. 15 (April 12, 2022). (See full author list <a href=https://www.pnas.org/doi/abs/10.1073/pnas.2113561119#tab-contributors>here</a>.) <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64820" aria-label="View Details about Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Bertsimas, Dimitris, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=1812.06647.pdf">"Interpretable Matrix Completion: A Discrete Optimization Approach."</A> <I>INFORMS Journal on Computing</I> 35, no. 5 (September–October 2023): 952–965. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64782" aria-label="View Details about Interpretable Matrix Completion: A Discrete Optimization Approach Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Bertsimas, Dimitris, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=19-471.pdf">"Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion."</A> <I>Journal of Machine Learning Research</I> 21, no. 1 (2020). <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64781" aria-label="View Details about Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=EBP085508322_0.pdf">"Pricing for Heterogeneous Products: Analytics for Ticket Reselling."</A> <I>Manufacturing & Service Operations Management</I> 25, no. 2 (March–April 2023): 409–426. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64779" aria-label="View Details about Pricing for Heterogeneous Products: Analytics for Ticket Reselling Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Bertsimas, Dimitris, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=1902.03272.pdf">"Scalable Holistic Linear Regression."</A> <I>Operations Research Letters</I> 48, no. 3 (May 2020): 203–208. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64774" aria-label="View Details about Scalable Holistic Linear Regression Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=s10729-020-09542-0.pdf">"From Predictions to Prescriptions: A Data-driven Response to COVID-19."</A> <I>Health Care Management Science</I> 24, no. 2 (June 2021): 253–272. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64773" aria-label="View Details about From Predictions to Prescriptions: A Data-driven Response to COVID-19 Article">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=Naval Research Logistics - 2021 - Bertsimas.pdf">"Where to Locate COVID-19 Mass Vaccination Facilities?"</A> <I>Naval Research Logistics Quarterly</I> 69, no. 2 (March 2022): 179–200. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64655" aria-label="View Details about Where to Locate COVID-19 Mass Vaccination Facilities? Article">View Details</a></div> </li> </ul> </div> </div> </div> </div> <div class="shim40"></div> <div class="hr"></div> <div class="shim40"></div> <div class="row tablet-row mobile-row"> <div class="span8 tablet-span12 mobile-span12"> <div class="toggle-container"> <h3 class="eta-uc"> <div class="toggle-show"><a href="#" class="toggle-button black"><span class="icon-collapse" style="margin-right:10px;margin-bottom:5px;"></span>Working Papers</a></div> <div class="toggle-hide"><a href="#" class="toggle-button black"><span class="icon-expand" style="margin-right:10px;margin-bottom:5px;"></span>Working Papers</a></div> </h3> <div class="clear"></div> <div class="toggle-hide has-slide"> <ul class="unstyled list-publications add-underline" style="margin-top: 25px;"> <li> <div>Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2403.07031v1.pdf">"The Cram Method for Efficient Simultaneous Learning and Evaluation."</A> Working Paper, March 2024. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66892" aria-label="View Details about The Cram Method for Efficient Simultaneous Learning and Evaluation Working Paper">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Jacquillat, Alexander, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2406.14777v1.pdf">"Learning to Cover: Online Learning and Optimization with Irreversible Decisions."</A> Working Paper, June 2024. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66891" aria-label="View Details about Learning to Cover: Online Learning and Optimization with Irreversible Decisions Working Paper">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Bertsimas, Dimitris, Michael Lingzhi Li, and Saksham Soni. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2022.04.09.22273656v1.full.pdf">"THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions."</A> Working Paper, April 2022. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64833" aria-label="View Details about THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions Working Paper">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. <A HREF="https://arxiv.org/abs/2210.08326">"Distributionally Robust Causal Inference with Observational Data."</A> Working Paper, February 2023. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64831" aria-label="View Details about Distributionally Robust Causal Inference with Observational Data Working Paper">View Details</a></div> </li> </ul> </div> </div> </div> </div> <div class="shim40"></div> <div class="hr"></div> <div class="shim40"></div> <div class="row tablet-row mobile-row"> <div class="span8 tablet-span12 mobile-span12"> <div class="toggle-container"> <h3 class="eta-uc"> <div class="toggle-show"><a href="#" class="toggle-button black"><span class="icon-collapse" style="margin-right:10px;margin-bottom:5px;"></span>Cases and Teaching Materials</a></div> <div class="toggle-hide"><a href="#" class="toggle-button black"><span class="icon-expand" style="margin-right:10px;margin-bottom:5px;"></span>Cases and Teaching Materials</a></div> </h3> <div class="clear"></div> <div class="toggle-hide has-slide"> <ul class="unstyled list-publications add-underline" style="margin-top: 25px;"> <li> <div>Huckman, Robert S., Michael Lingzhi Li, and Camille Gregory. "Hospital for Special Surgery: Returning to a New Normal? (B)." Harvard Business School Supplement 624-093, July 2024. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65757" aria-label="View Details about Hospital for Special Surgery: Returning to a New Normal? (B) Teaching Material">View Details</a></div> <div class="shim20"></div> </li> <li> <div>Huckman, Robert S., Michael Lingzhi Li, and Camille Gregory. <A HREF="http://hbr.org/product/Hospital-for-Special-Surg/an/624092-PDF-ENG">"Hospital for Special Surgery: Returning to a New Normal? (A)."</A> Harvard Business School Case 624-092, June 2024. (Revised August 2024.) <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65756" aria-label="View Details about Hospital for Special Surgery: Returning to a New Normal? (A) Case">View Details</a></div> </li> </ul> </div> </div> </div> </div> <div class="shim30"></div><a href="/faculty/research/publications/Pages/default.aspx?faculty=mili" class="btn hbsred-bg black-bg-onhover white kappa-uc boldcn no-append" role="button">All Publications</a></div> </div> </div> </div> <div class="tablet-visible mobile-visible"> <div class="briefBio"><p class="xmsonormal">Michael Lingzhi Li is an Assistant Professor in the Technology and Operations Management unit at HBS. He teaches the first-year TOM course in the required curriculum.</p> <p class="xmsonormal">Professor Li’s research focuses on the end-to-end development of decision algorithms based on machine learning, causal inference and operations research. He examines the implementation of such algorithms in hospitals, pharmaceutical companies, and public health organizations, and their potential to fundamentally transform healthcare operations. He is the recipient of awards including the 2022 INFORMS Edelman Finalist, the 2021 INFORMS Pierskalla Award, and the 2021 Innovative Applications in Analytics Award.</p> <p class="xmsonormal">Professor Li holds a PhD in Operations Research and a Master’s in Business Analytics from MIT, along with a Bachelor of Arts from the University of Cambridge. In his free time, Professor Li enjoys hiking, swimming, and discovering new restaurants in Boston.</p></div> <dl class="accordian profile-tabs"> <dt><a href="#" class="black accordian-kappa">Journal Articles</a></dt> <dd> <ul class="unbulleted"> <li>Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. <A HREF="https://pubsonline.informs.org/doi/abs/10.1287/inte.2022.1150">"Data-Driven COVID-19 Vaccine Development for Janssen."</A> <I>INFORMS Journal on Applied Analytics</I> 53, no. 1 (January–February 2023): 70–84. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66918">View Details</a><div class="shim20"></div> </li> <li>Imai, Kosuke, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=indtreat_JASA2.pdf">"Experimental Evaluation of Individualized Treatment Rules."</A> <I>Journal of the American Statistical Association</I> 118, no. 541 (2023): 242–256. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=63053">View Details</a><div class="shim20"></div> </li> <li>Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2020.06.23.20138693.full.pdf">"Forecasting COVID-19 and Analyzing the Effect of Government Interventions."</A> <I>Operations Research</I> 71, no. 1 (January–February 2023): 184–201. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64644">View Details</a><div class="shim20"></div> </li> <li>Imai, Kosuke, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2203.14511v3.pdf">"Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments."</A> <I>Journal of Business & Economic Statistics</I> 43, no. 1 (2025): 256–268. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66242">View Details</a><div class="shim20"></div> </li> <li>Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2102.10773v5.pdf">"Slowly Varying Regression Under Sparsity."</A> <I>Operations Research</I> (forthcoming). (Pre-published online March 27, 2024.) <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66889">View Details</a><div class="shim20"></div> </li> <li>Li, Michael Lingzhi, and Kosuke Imai. <A HREF="https://doi.org/10.1515/jci-2023-0072">"Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules."</A> <I>Journal of Causal Inference</I> 12, no. 1 (2024). <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66243">View Details</a><div class="shim20"></div> </li> <li>Jacquillat, Alexandre, Michael Lingzhi Li, Martin Ramé, and Kai Wang. <A HREF="https://doi.org/10.1287/opre.2023.0308">"Branch-and-Price for Prescriptive Contagion Analytics."</A> <I>Operations Research</I> (forthcoming). (Pre-published online March 13, 2024.) <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65743">View Details</a><div class="shim20"></div> </li> <li>Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. <A HREF="https://www.sciencedirect.com/science/article/pii/S147751312300503X">"A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification."</A> <I>Journal of Pediatric Urology</I> 20, no. 2 (April 2024): 271–278. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65003">View Details</a><div class="shim20"></div> </li> <li>Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. <A HREF="https://arxiv.org/abs/2306.03030">"Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset."</A> <I>Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track</I> 36 (2023). <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65001">View Details</a><div class="shim20"></div> </li> <li>Cramer, Estee Y., Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li, and et al. <A HREF="https://www.pnas.org/doi/abs/10.1073/pnas.2113561119">"Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States."</A> e2113561119. <I>Proceedings of the National Academy of Sciences</I> 119, no. 15 (April 12, 2022). (See full author list <a href=https://www.pnas.org/doi/abs/10.1073/pnas.2113561119#tab-contributors>here</a>.) <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64820">View Details</a><div class="shim20"></div> </li> <li>Bertsimas, Dimitris, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=1812.06647.pdf">"Interpretable Matrix Completion: A Discrete Optimization Approach."</A> <I>INFORMS Journal on Computing</I> 35, no. 5 (September–October 2023): 952–965. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64782">View Details</a><div class="shim20"></div> </li> <li>Bertsimas, Dimitris, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=19-471.pdf">"Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion."</A> <I>Journal of Machine Learning Research</I> 21, no. 1 (2020). <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64781">View Details</a><div class="shim20"></div> </li> <li>Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=EBP085508322_0.pdf">"Pricing for Heterogeneous Products: Analytics for Ticket Reselling."</A> <I>Manufacturing & Service Operations Management</I> 25, no. 2 (March–April 2023): 409–426. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64779">View Details</a><div class="shim20"></div> </li> <li>Bertsimas, Dimitris, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=1902.03272.pdf">"Scalable Holistic Linear Regression."</A> <I>Operations Research Letters</I> 48, no. 3 (May 2020): 203–208. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64774">View Details</a><div class="shim20"></div> </li> <li>Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=s10729-020-09542-0.pdf">"From Predictions to Prescriptions: A Data-driven Response to COVID-19."</A> <I>Health Care Management Science</I> 24, no. 2 (June 2021): 253–272. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64773">View Details</a><div class="shim20"></div> </li> <li>Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=Naval Research Logistics - 2021 - Bertsimas.pdf">"Where to Locate COVID-19 Mass Vaccination Facilities?"</A> <I>Naval Research Logistics Quarterly</I> 69, no. 2 (March 2022): 179–200. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64655">View Details</a></li> </ul> </dd> <dt><a href="#" class="black accordian-kappa">Working Papers</a></dt> <dd> <ul class="unbulleted"> <li>Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2403.07031v1.pdf">"The Cram Method for Efficient Simultaneous Learning and Evaluation."</A> Working Paper, March 2024. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66892">View Details</a><div class="shim20"></div> </li> <li>Jacquillat, Alexander, and Michael Lingzhi Li. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2406.14777v1.pdf">"Learning to Cover: Online Learning and Optimization with Irreversible Decisions."</A> Working Paper, June 2024. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=66891">View Details</a><div class="shim20"></div> </li> <li>Bertsimas, Dimitris, Michael Lingzhi Li, and Saksham Soni. <A HREF="https://www.hbs.edu/faculty/Pages/download.aspx?name=2022.04.09.22273656v1.full.pdf">"THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions."</A> Working Paper, April 2022. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64833">View Details</a><div class="shim20"></div> </li> <li>Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. <A HREF="https://arxiv.org/abs/2210.08326">"Distributionally Robust Causal Inference with Observational Data."</A> Working Paper, February 2023. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=64831">View Details</a></li> </ul> </dd> <dt><a href="#" class="black accordian-kappa">Cases and Teaching Materials</a></dt> <dd> <ul class="unbulleted"> <li>Huckman, Robert S., Michael Lingzhi Li, and Camille Gregory. "Hospital for Special Surgery: Returning to a New Normal? (B)." Harvard Business School Supplement 624-093, July 2024. <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65757">View Details</a><div class="shim20"></div> </li> <li>Huckman, Robert S., Michael Lingzhi Li, and Camille Gregory. <A HREF="http://hbr.org/product/Hospital-for-Special-Surg/an/624092-PDF-ENG">"Hospital for Special Surgery: Returning to a New Normal? (A)."</A> Harvard Business School Case 624-092, June 2024. (Revised August 2024.) <a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=65756">View Details</a></li> </ul> </dd> <dt><a href="#" class="black accordian-kappa">Awards & Honors</a></dt> <dd> <div class="row tablet-row mobile-row "> <div class="span8 "> <article> <div class="abstract add-underline">Winner of the 2020 Pierskalla Award from INFORMS Health Applications Society for “From Predictions to Prescriptions: A Data-driven Response to COVID-19” (<i>Health Care Management Science</i>, June 2021) with Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, et al.</div> </article> <div class="shim30"></div> <div class="hr"></div> <div class="shim30"></div> <article> <div class="abstract add-underline">Runner-up for the 2021 Doing Good with Good O.R. Student Paper Award from the Institute for Operations Research and the Management Sciences (INFORMS) for “Data-driven COVID-19 Vaccine Development for Janssen" with Dimitris J. Bertsimas, Omar Skali Lami, Hamza Tazi Bouardi, et al.</div> </article> <div class="shim30"></div> <div class="hr"></div> <div class="shim30"></div> <article> <div class="abstract add-underline">Winner of the 2021 Innovative Applications in Analytics Award from the Institute for Operations Research and the Management Sciences (INFORMS) for "Data-driven COVID-19 Vaccine Development for Janssen" with Dimitris J. Bertsimas, Omar Skali Lami, Hamza Tazi Bouardi, et al.</div> </article> <div class="shim30"></div> <div class="hr"></div> <div class="shim30"></div> <article> <div class="abstract add-underline">Named Edelman Laureate in 2022 by the Institute for Operations Research and the Management Sciences (INFORMS) for “Data-Driven COVID-19 Vaccine Development for Janssen” (<i>INFORMS Journal on Applied Analytics</i>) with Dimitris Bertsimas, Xinggang Liu, Jennings Xu, and Najat Khan.</div> </article> <div class="shim30"></div> <div class="hr"></div> <div class="shim30"></div> <article> <div class="abstract add-underline">Winner of the 2023 Naval Research Logistics Kuhn Award for “Where to Locate COVID-19 Mass Vaccination Facilities?” (<i>Naval Research Logistics</i>, 2022) with Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, and Alessandro Previero.</div> </article> </div> </div> </dd> <dt><a href="#" class="black accordian-kappa">Additional Information</a></dt> <dd> <ul class="unbulleted"> <li><a href="https://www.linkedin.com/in/michaellingzhili/">LinkedIn</a></li> <li><a href="https://www.michaellz.com/">Michael's Personal Website</a></li> </ul> </dd> <dt><a href="#" class="black accordian-kappa">Areas of Interest</a></dt> <dd> <ul class="unbulleted"> <li><a href="/faculty/Pages/browse.aspx?topic=analytics">analytics</a></li> <li><a href="/faculty/Pages/browse.aspx?topic=machine learning">machine learning</a></li> <li><a href="/faculty/Pages/browse.aspx?topic=operations management">operations management</a></li> <li><a href="/faculty/Pages/browse.aspx?topic=statistics">statistics</a></li> <div style="margin-top: 30px;"><strong>Additional Topics</strong></div> <li><a href="/faculty/Pages/browse.aspx?topic=health care quality">health care quality</a></li> <li><a href="/faculty/Pages/browse.aspx?topic=supply chain management">supply chain management</a></li> <div style="margin-top: 30px;"><strong>Industries</strong></div> <li><a href="/faculty/Pages/browse.aspx?industry=health care">health care</a></li> <li><a href="/faculty/Pages/browse.aspx?industry=insurance industry">insurance industry</a></li> </ul> </dd> </dl> </div> </div> <div class="span3 tablet-span3 sidebar vrule-offset desktop-visible"> <div class="cap tablet-cap mobile-cap"></div> <div class="kappa-uc custom-title" style="margin-bottom: 8px;">Additional Information</div> <div class="sidebar-list" data-wcm-edit-url=""> <div class="" data-wcm-edit-url=""><a href="https://www.linkedin.com/in/michaellingzhili/">LinkedIn</a></div> <div class="shim10"></div> <div class="" data-wcm-edit-url=""><a href="https://www.michaellz.com/">Michael's Personal Website</a></div> </div> <div class="shim30"></div> <div class="hr"></div> <div class="shim30"></div> <div class="sidebar-list" data-wcm-edit-url=""> <h3 class="kappa-uc" style="margin-bottom:8px;">Areas of Interest</h3> <div class="" data-wcm-edit-url=""><a 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JS to handle that. var contents = $.trim($(".briefbio .contents").text()); if (contents == '') { if($(".fullbio > p").length) { var firstpara = $(".fullbio > p").eq(0).html(); $(".briefbio .contents").html(firstpara); if ($.trim($(".briefbio .contents").text()) == $.trim($(".fullbio > p").text())) { $(".moreless").css("visibility","hidden") } } else if($(".fullbio > br").length) { var firstpara = $(".fullbio").html().split("<br>")[0]; $(".briefbio .contents").html(firstpara); if ($.trim($(".briefbio .contents").text()) == $(".fullbio").html()) { $(".moreless").css("visibility","hidden") } } } $(".toggle-bio a.moreless").click(function(){ $(".fullbio").toggle(); $(".briefbio").toggle(); return false; }); }) jQuery(function($){ }); </script> </body> </html>

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Michael Lingzhi Li - Faculty & Research - Harvard Business School