Michael Lingzhi Li
Assistant Professor of Business Administration
Assistant Professor of Business Administration
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.
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.
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.
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.
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.
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.
- Published Manuscripts
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- Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201. View Details
- Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256. View Details
- Journal Articles
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- Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (2022): 179–200. View Details
- Additional Information
- Areas of Interest
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- analytics
- machine learning
- operations management
- statistics
- health care quality
- supply chain management
- health care
- insurance industry
Additional TopicsIndustries