Introduction

I am a post-doc research fellow, working with Prof. Goncalo Abecasis in the Department of Biostatistics, Center of Statistical Genetics, University of Michigan.

My field is statistical genomics and genetic epidemiology. The goal of my research is to understand and characterize genetic architectures of complex traits. My research interests are broad, but most of my research is focused on developing statistical methods and computational tools for detecting associations with complex traits via sequence data.

Previously, I obtained my Ph.D. degree in statistics from Rice University under the direction of Prof. Suzanne Leal and Prof. Marek Kimmel. My Ph.D. research was focused on developing methods for analyzing rare variant associations, which leads to the development of KBAC for detecting rare variant associations in the presence of gene interactions, MEGA for analyzing quantitative trait associations in sib-pair studies, and MTA for analyzing secondary trait associations in selective sampling studies. We recently released an R package SEQCHIP for integrating sequence and genotype data in two-stage case-control association studies, which is motivated by our collaborative research project on bipolar disorders. In addition, we also investigated optimal strategies for replicating sequence-based association studies. 

I have extensive teaching experiences and my teaching evaluations are very strong (available upon request). I have been a co-instructor for the graduate level mathematical statistics course. I was also a sole instructor for two undergraduate level mathematics courses.

More detailed information on my expertise can be found in my up to date CV.

My google scholar profile is here, where you can find citation information on my papers.