Fangli Geng is a Ph.D. Candidate in the Program of Health Policy with a secondary field in Data Science. Fangli's research focuses on health policy issues related to aging, particularly as it relates to designing high-value patient-centered models of health care delivery for the elderly. She is also interested in developing and applying advanced quantitative and data science methods in health policy decision-making and management. Fangli is currently working as a research assistant at the Health Care Policy Department in Harvard Medical School on various projects related to post-acute care and long-term care. Fangli's work has been published in various journals, including Health Affairs, Health Services Research Journal, Health Policy and Planning, BMJ Medicine.

She also holds a BS in Biotechnology from Shanghai Jiao Tong University and an SM in Risk and Decision Science in Environmental Health from the Harvard T.H. Chan School of Public Health.  Before entering the Ph.D. program, Fangli joined the Harvard Center for Health Decision Science as a research assistant, where she conducted health economic and cost-effectiveness research on a wide range of topics, including costing studies of HIV treatments and routine infant immunization programs, cervical cancer prevention in developing countries, cervical cancer screening policy in China, and value of statistical life estimation in China.