Scholar
Michael Lingzhi Li
Google Scholar ID: gnZVifUAAAAJ
Assistant Professor, Harvard Business School
Citations & Impact
Citations
2,259
H-index
18
i10-index
25
Publications
20
Co-authors
16
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Academic achievements include multiple publications, such as 'Branch-and-Price for Prescriptive Contagion Analytics' (co-authored with A. Jacquillat, M. Rame, K. Wang), 'Learning to cover: online learning and optimization with irreversible decisions' (co-authored with A. Jacquillat), and more.
Research Experience
- Research experiences include collaborations across various fields such as healthcare and life sciences, supply chain management, and insurance. Aiming to ensure that AI systems are not only technically sound but also trustworthy and usable in practice.
Background
- Research Interests: At the intersection of optimization, machine learning, and causal inference. Introduction: Assistant Professor in the Technology and Operations Management Unit at Harvard Business School, where he researches and teaches at the intersection of data, algorithms, and real-world decision-making. Also co-leads the Data Science & AI Operations Lab at the D3 Institute, is a Faculty Affiliate of the Harvard Data Science Initiative, serves as the co-Director of the Computational Healthcare Analytics Program at Boston Children's Hospital, and is the Chief Data Scientist at Waffle Labs.
Miscellany
- Personal Philosophy: Believes that AI has the potential to guide some of society’s most consequential decisions in high-stakes domains like healthcare, public policy, drug development, and criminal justice, thereby improving lives at scale and shaping the future of human well-being.
