
Bio
I have extensive experience in statistical modeling and computing with applications to statistical genetics and genomics. My recent research is focused on developing Bayesian model-based methods to analyze data generated from applications of next-generation sequencing technologies such as ChIP-seq, RNA-seq, Hi-C, WGBS, resequencing, and on developing software so that the methods can be easily adopted by the research community. I am also actively collaborating with biomedical scientists and clinicians on projects that utilize next-generation sequencing technologies to better understand genomics and epigenomics.
Areas of Interest
- Bioinformatics
- Statistical Modeling
- Epigenetics
- Genetics
- Bayesian Analysis
- Machine Learning
- Genomics
Education
- PhD, University of Michigan, Ann Arbor, MI
- BS, Peking University, Beijing, China
- MA, University of Michigan, Ann Arbor, MI
Courses Taught
- BIOS 795R - Pre-Candidacy Research
- BIOS 799R - Dissertation
- BIOS 798R - Special Projects
- BIOS 540 - Introduction to Bioinformatics
- BIOS 731 - Advanced Statistical Computing
- BIOS 516 - Intr.Lrge Scale Biomed Data An
Affiliations
Department of Biomedical Informatics, Emory University School of Medicine
Department of Computer Science, Emory University