Ph.D., 2012, Bioinformatics, Georgia Institute of Technology
B.S., 2007, Control Science and Engineering, Tsinghua University
Assistant Professor, 2017, Michigan State University
Postdoctoral Associate, 2016, Stanford University
Postdoctoral Associate, 2012-2016, Massachusetts Institute of Technology and Broad Institute
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.