I received my Ph.D. degree in statistics from the University of Chicago in 2021, under the supervision of Mihai Anitescu and Mladen Kolar. Before attending UChicago, I received my B.S. degree in mathematics from Nanjing University in 2016. I also visited the Statistics department at UC Davis as an exchange student and worked with Jane-Ling Wang, Hans-Georg Müller, and Christiana Drake in 2015.
I am broadly interested in the mathematical foundations of data science, with topics including high-dimensional statistics, graphical models, semiparametric models, optimal control, and large-scale and stochastic nonlinear optimization. I am also interested in the applications of machine learning methods in biology, neuroscience, and engineering.
(I’m on the 2023-2024 job market. Happy to chat if you have any information.)
Ph.D. in Statistics, 2021
University of Chicago
B.S. in Mathematics, 2016
Exchange student in Statistics, 2015
University of California, Davis