Expertise

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.

Interests:

  • High-dimensional statistics
  • Network analysis
  • Bayesian statistics
  • Computer models
Degrees
PhD, Johns Hopkins University, Applied Mathematics, 2020
MA, Johns Hopkins University, Applied Mathematics, 2016
BSc, South China University of Technology, Mathematics and Applied Mathematics, 2014