معرفی
Harrison Li is an Assistant Professor of Mathematics at Harvey Mudd College, where he contributes to both teaching and research in statistics. He holds a PhD in Statistics from Stanford University, completed in 2025, and previously worked as a quantitative trader on Wall Street.
His research focuses on advancing statistical methodology in causal inference, experimental design, and data fusion, with applications across diverse domains including medicine, atmospheric science, public policy, earth science, and computer science. He is particularly passionate about enabling rigorous, creative statistical thinking in both students and collaborators.
His work often involves interdisciplinary collaboration and real-world impact, such as his consultancy on evaluating the effectiveness of Rhode Island’s Reemployment Services and Eligibility Assessment (RESEA) program. He has been recognized with the prestigious Stanford Interdisciplinary Graduate Fellowship for his doctoral studies.
- Stanford Interdisciplinary Graduate Fellowship
As an educator, Li has led reforms in small-group instruction in probability courses at Stanford and aims to expand statistics education at Harvey Mudd College. He supervises student projects through the Mathematics Clinic, fostering applied learning and research. While no formal advisees are listed, his mentorship extends through teaching and collaborative research.
Li maintains an active research agenda and advocates for families affected by wrongful detentions, drawing from personal experience with his father's case. His work bridges theoretical innovation with practical application, positioning him as a rising figure in modern statistical science.
