About

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 my 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 machine learning, causal inference, and Bayesian statistics. See my publications.

Research Interests

Probabilistic generative modeling & Bayesian statistics

Probabilistic approaches to large language models and diffusion models, statistical and computational theory of variational Bayes, robust Bayesian inference

Causal machine learning & causal inference

Causal representation learning, causal inference for language models, statistical inference and computational approaches for causal inference

Applications

Recommender systems, computational biology, electronic health records, materials discovery, human-AI interactions

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.

Office Hours: During the semester, I hold weekly office hours in person and over Zoom.