Research
Research topics:
Bioinformatics and immuno-informatics, especially high-throughput spatial transcriptomics and TCR-seq data modeling.
Multi-disease genetic analysis and integrative analysis of functional annotation data.
Integrative analysis of high throughput genetic/genomic data with other biomedical big data, especially biomedical literature mining data.
Immuno-oncology, especially sex bias, racial disparity, responsiveness to cancer immunotherapy, and immune-related adverse events.
Active funding:
NIH/NHGRI R21-HG012482: "Statistical Power Calculation Framework for Spatially Resolved Transcriptomics Experiments" (PI: Chung, Ma)
NIH/NIDA U01-DA045300: "The Genetic Basis of Opioid Dependence Vulnerability in a Rodent Model" (PI: Chung, Hardiman, Kalivas, Woods, Ciccocioppo)
Participating research groups: