I am an assistant professor of the Department of Statistics at Texas A&M University.
Office: Blocker 416D, 3143 TAMU, College Station, TX 77843.
[Teaching]     [Papers]     [About me]
|Aug 2019 -- present
||Department of Statistics, Texas A&M University
|Apr 2017 -- Aug 2019
||Postdoctoral Research Fellow
||Department of Statistics, Rice University (advisor: Philip Ernst)
|Aug 2012 -- Mar 2017
||Baylor College of Medicine, Houston, USA (advisor: Yongtao Guan)
|Sept 2008 -- Jun 2012
||Fudan University, Shanghai, China
Courses I have developed/taught
- STAT 312: Statistics for Biology (supported by DataCamp)
- STAT 436: Multivariate Analysis and Statistical Learning
- STAT 614: Probability for Statistics
- STAT 695: Frontiers: Convergence of Markov Chain Monte Carlo Algorithms
- STAT 621 (in fall 2023): Advanced Stochastic Processes [Unit1.pdf]
- Markov chain Monte Carlo methods
- Bayesian theory and methodology
- Stochastic control and optimal stopping
- Graphical models
- Statistical genetics and genomics
- Experimental design, randomized trials
- SETCASA Poster Competition 2023 was successully held. [link]
- Slides for my talk at IRSA MCMC conference. [pdf]
These slides give an overview of my recent works on MCMC methodology.
Compared to the version actually used at IRSA, I added a few more slides explaining how to do importance tempering for multiple-try Metropolis algorithms.