Michael Lingzhi Li | Assistant Professor of Business Administration
Harvard Business School, Technology and Operations Management

Michael Lingzhi Li is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School. His research sits at the intersection of optimization, machine learning, and healthcare, with a focus on AI-driven decision-making in clinical trials and healthcare operations. His work has been recognized with awards such as the Innovative Applications in Analytics Award and the Edelman Laureate Award for its impact on accelerating COVID-19 vaccine trials. Michael has collaborated with leading pharmaceutical companies to develop AI/ML methodologies that enhance clinical trial design, site selection, and patient recruitment. His research not only advances the theoretical foundations of data-driven optimization but also delivers practical solutions for real-world healthcare challenges. At the World Orphan Drug Congress USA 2025, Michael will discuss how AI and data science can transform the development of orphan drugs and improve access to treatments for rare diseases. His expertise in leveraging computational techniques to drive healthcare innovation offers actionable insights for industry leaders, policymakers, and researchers.