I am an LSA collegiate fellow and an assistant professor of Statistics (as of Fall 2022) at the University of Michigan, and a faculty affiliate of the Michigan Institute for Data Science.

I work in the fields of Bayesian statistics, machine learning, and causal inference. I also work on algorithmic fairness and reinforcement learning, often via connections to causality. My research interests lie in the intersection of theory and applications.

Previously, I was a postdoctoral researcher with Professor Michael Jordan at the University of California, Berkeley. I completed my Ph.D. in Statistics at Columbia University, advised by Professor David Blei, and my B.Sc. in mathematics and computer science at the Hong Kong University of Science and Technology.