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.