Frank Huang, PhD, focuses his research on developing machine learning (deep learning) and statistical methods to integrate multiple types of omics data, including DNA-seq, RNA-seq, Chip-seq, Methylation, large-scale pharmaco-genomics data, and electronic health records, for driver signaling pathway analysis, drug repositioning, drug combination prediction, and elucidation of drug-resistant mechanisms. He collaborates with clinicians from different disciplines, including cancer, immunology, and neurology, to apply computational solutions to medical problems arising from clinical practice.

ResearchGate | PubMed