I am an assistant professor of statistics at The University of Texas at Austin. I am with the Department of Information, Risk, and Operations Management (IROM) at the McCombs School of Business. I am also a core faculty member in the Department of Statistics and Data Sciences at the College of Natural Sciences.

I received my Ph.D. from Duke University in 2013, Master's from the Chinese Academy of Sciences in 2008, and B.Sc. from Nanjing University in 2005. My Ph.D. advisor was Lawrence Carin.

My research lies at the intersection of Bayesian statistics and machine learning. I am interested in developing statistical theory and methods, hierarchical models, and efficient Bayesian inference for big data. I am currently focused on the development of nonparametric Bayesian hierarchical models for count data analysis, categorical data analysis, mixture modeling (clustering, mixed-membership modeling, topic modeling), dictionary learning (feature learning, factor analysis), network modeling, and deep learning.

Research Highlights: