Assistant Professor of Computational Medicine and Bioinformatics

Member of the Institute for Heart and Brain Health

Before I came to U-M, I was a postdoc in the Dr. Mike Snyder’s lab at Stanford, in charge of data analysis and integration for several projects, including GTEx, wearable COVID project, ENCODE, and HuBMAP.  I obtained my Ph.D. in Mathematics with Specialization in Statistics from the  University of California, San Diego (under advisor: Dr. Ery Arias-Castro). I also took about one-year postdoc training in the privacy protection problem in the Department of Biomedical Informatics at UCSD (under advisor: Dr. Xiaoqian Jiang).

My overall research interest is developing new statistical methods and computational tools integrating diverse biomedical data for early detection, intervention, and prevention of diseases.

Education and training:

B.S., Applied Mathematics, McGill University

Education and training:

B.S., Statistics, the Chinese University of Hong Kong

Education and training:

Ph.D., Computer Science, Jilin University, China