Diana Cai

Diana Cai, is an assistant professor of computer science, beginning fall 2026. In her research, Cai designs and analyzes probabilistic machine learning methods for scientific discovery. She is motivated by real-world scientific constraints and develops methods in close collaboration with scientists across domains, including biology, chemistry, and physics. Previously, Cai was a research fellow in the Center for Computational Mathematics at the Flatiron Institute. She completed her M.A. and Ph.D. in computer science from Princeton University, and received an M.S. in statistics from the University of Chicago, and an A.B. in computer science and statistics from Harvard University.  Her work has been recognized by a Google Ph.D. Fellowship in Machine Learning, Rising Stars in EECS, a Rising Stars in Machine Learning Award from the University of Maryland, a School of Engineering and Applied Science Award for Excellence from Princeton University, and spotlight paper awards at the NeurIPS and ICML conferences.