Fangzheng Xie

Assistant Professor of Statistics

Indiana University


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.


  • High-dimensional statistics
  • Network analysis
  • Bayesian statistics
  • Computer models


  • 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