I am a Ph. D. student major in applied mathematics and statistics at Stanford, advised by Andrea Montanari. Before coming to California, I studied Mathematics at Peking University. My research is partly supported by Stanford Graduate Fellowship.

My research is motivated by **data science**, and lies at the intersection of **statistics**, **machine learning**, **information theory**, and **computer science**.
I often build on insights that originated within the **statistical physics** literature.

Currently, I am interested in theory of deep learning, high dimensional geometry, approximate Bayesian inferences, and applied random matrix theory.

Here is my Google Scholar page and CV.

Ph. D., ICME, Stanford University, *in progress*.

B. A., Mathematics, Peking University, 2014.