Summary
Edric Tam is a Postdoctoral Fellow at Stanford and a visiting researcher at UCSF specializing in the intersection of mathematical foundations, AI, and human health, with nine years of research and industry experience. He holds a PhD in Statistical Science from Duke and MS degrees in Computer Science and Biomedical Engineering, and brings applied ML experience from internships at Google, Amazon, Apple, Facebook, Pinterest, and Instacart. His academic awards (Warren Alpert, Croucher, STVP Emerson) reflect work that spans computational biology, probabilistic modeling, and consequential AI research. He has taught probability and data science courses, served as an assistant program chair at NeurIPS, and repeatedly bridges rigorous theory with product-facing ML problems. Colleagues describe him as equally comfortable deriving math-heavy models and shipping practical systems that improve health-relevant decision-making.
9 years of coding experience
9 years of employment as a software developer
Johns Hopkins University
High School, High School at St. Paul's Co-educational College
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Chicago
High School, High School at Deerfield Academy
Master of Science - MS, Biomedical Engineering, Master of Science - MS, Biomedical Engineering at Yale University
Doctor of Philosophy - PhD, Statistical Science, Doctor of Philosophy - PhD, Statistical Science at Duke University
Postdoctoral Fellow, Artificial Intelligence, Postdoctoral Fellow, Artificial Intelligence at Stanford University