I am currently a Szegö Assistant Professor in the Department of Mathematics at Stanford University. My research interests lie in the theory and application of machine learning. I am especially interested in theoretically understanding the behavior of deep neural networks, incluing their optimization and generalization.

Before joining Stanford, I obtained my PhD from the Program in Applied and Computational Mathematics at Princeton University, under the supervision of Professor Weinan E. I received my bachelor's degree from the school of mathematical Science at Peking University.

Here are my CV, Google Scholar and Linkedin

From June 2020 we organized the One World Seminar Series on the Mathematics of Machine Learning