Biography

I am an assistant professor in the Department of Statistics at Indiana University. I am broadly interested in developing likelihood-based and Bayesian methods for various statistical problems with strong theoretical support. Specifically, I have been focusing on likelihood-based inference for network data, theory and methods for high-dimensional data, Bayesian nonparametrics, and Bayesian methods for computer experiments 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.