My group is interested in statistical and computational methods development for solving problems in molecular biology and human health. Specifically, we are developing large-scale integrative machine learning methods for studying disease genetics, gene regulation, epigenetic dynamics, and sequence data.


A current goal of my group is to use statistical methods to infer molecular effects of DNA mutations on gene expression and understand how disruption of gene regulation in specific cell types lead to disease.


We are always looking for talented people to join our group.  Please feel free to contact me.

DNA Strand
About Me

I am an associate professor of Statistics at the Penn State University, University Park right in the middle of Pennsylvania. I received my Ph.D. from University of Southern California with Michael S. Waterman, 2000-2004. After graduation, I spent 2 years at Harvard University as a postdoctor with Jun S. Liu. My hometown is Beijing in China, a city that you should visit sometime.