Hua-Chang Chen mainly focuses on inferring the underlying causal genes for severe diseases by utilizing GWAS (Genome-Wide Association Study) and Mendelian randomization. His work also includes predicting risk genes/domains by integrating multi-omics data.

Yu Wang’s work explores the genomic or transcriptomic signatures for developing potential biomarkers to better depict cancer patients to improve immunotherapy response with bioinformatical and statistical methods. 

Jing Yang’s research work is focused on unrevealing the relationships between genotype and immunophenotype and identifying the determinates of immunogenicity for immunotherapy in melanoma. Dr. Yang also studies the TGFβ signaling pathway which functioned through SMAD4 in inflammation-associated cancer.