About Me
Education
Ph.D., 2012, Bioinformatics, Georgia Institute of Technology
B.S., 2007, Control Science and Engineering, Tsinghua University
Academic Appointments
Assistant Professor, 2017, Michigan State University
Postdoctoral Associate, 2016, Stanford University
Postdoctoral Associate, 2012-2016, Massachusetts Institute of Technology and Broad Institute
Research Interests
Four major computational biology research topics include:
- Probabilistic modeling of long-range three-dimensional enhancer-gene networks in diverse cellular contexts and inference of hierarchical regulatory logic of combinatorial transcription factors on gene expression.
- Network-based prediction and functional annotation of non-coding genetic variants associated with human diseases and traits, including cancer.
- Machine learning algorithms to predict regulatory elements of gene expression (insulators, enhancers and boundary elements), large-scale chromatin domains, and histone modification signatures (‘histone-code’) based on genomics, epigenomics and transcriptomics data.
- Statistical and computational methodology development for efficient design, analysis and interpretation of biological big-data generated from new high-throughput techniques.