Harrison Li

Harrison Li, PhD, Assistant Professor of Mathematics, has academic interests in both applied and theoretical statistics, especially in causal inference, experimental design, and data fusion. He earned his Ph.D. in Statistics from Stanford University in 2025, and previously worked as a quantitative trader on Wall Street. More information about problems he has worked on can be found on his personal website.

Li is especially passionate about developing sound statistical methodology in the service of other scientific fields. His research has involved collaborations with domain experts in areas like medicine, atmospheric science, public policy, earth science, and computer science. He has also served as a consultant and data scientist to evaluate the impact of Rhode Island’s Reemployment Services and Eligibility Assessment (RESEA) program on downstream employment outcomes, in collaboration with government and academic partners.

As a teacher, Li broadly aims to instill in his students a rigorous yet intuition-infused mathematical foundation in statistical concepts, regardless of their prior background and comfort in mathematics. He ultimately hopes to empower students to think with statistical rigor and creativity when encountering novel problems in research, industry, or everyday life. He previously led an effort to overhaul small-group sections in the probability sequence at Stanford University, and seeks to help expand the breadth and depth of course offerings in probability and statistics at Harvey Mudd College.