I am an assistant professor of Statistics
at the University of Michigan.
Previously, I was a postdoctoral researcher
with Professor Michael
Jordan at the University of California,
Berkeley. I completed Ph.D. in Statistics at
Columbia University in 2020, advised by Professor David
Blei, and B.Sc. in mathematics and computer
science at the Hong Kong University of Science and
Technology in 2014.
I work in the fields of Bayesian statistics,
machine learning, and causal inference. My research interests include
Probabilistic generative modeling/Bayesian statistics: Probabilistic approaches to large language models and diffusion models, statistical and computational theory of variational Bayes, robust Bayesian inference
During the semester, I hold weekly office hours in person and over zoom.
Postdoc position available: I have an opening for a postdoc to join my research group to work on causal machine learning and/or probabilistic generative modeling.