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.
Representative funding:
NIH/NIGMS R01-GM152585: "Statistical Power Analysis Framework for Multi-Sample and Cross-Platform Spatial Omics Experiments" (PI: Chung, Ma)
NIH/NIDA U01-DA045300: "The Genetic Basis of Opioid Dependence Vulnerablility in a Rodent Model" (PI: de Guglielmo, Cheng, Chung, Palmer, Smith)
Participating research groups:
TriState Cellular Senescence Network (SenNet) Consortium (Ohio State University, University of Pittsburgh, Carnegie Mellon University, University of Roechster)