I am an assistant professor in the Department of Statistics at Indiana University. My research interests lie in developing theoretical foundations and computational tools for learning large and complex data. The specific topics I have been interested in include low-rank random matrix models, statistical network analysis, nonparametric Bayes, computer models, and uncertainty quantification. On the application side, I am also interested in designing new Bayesian methods for computational biology.
I received my Ph.D. from the Department of Applied Mathematics and Statistics at Johns Hopkins University under the supervision of Dr. Yanxun Xu.
Ph.D. in Applied Mathematics and Statistics, 2020
Johns Hopkins University, Baltimore, MD, U.S.
M.A. in Applied Mathematics and Statistics, 2016
Johns Hopkins University, Baltimore, MD, U.S.
B.Sc in Mathematics and Applied Mathematics, 2014
South China University of Technology