Ji-Gang Zhang, Ph.D.

Computational Scientist

My research mainly lies in developing and applying statistical and system computational approaches to discover complex disease mechanisms, biomarkers and treatment targets by integrate large-scale biological “omics” data.

My research mainly focuses on genetic dissection of complex diseases using/developing the state-of-the-art multi- and inter-disciplinary approaches of genomic technologies, and statistical and bioinformatical methods. The approaches involve genome-wide association analyses, genome-wide transcriptome analyses, proteome-wide protein expression profiling, epigenetic profiling by various statistical methods, including e.g. data imputation, regularized regression, pathway analysis, fine mapping. I am also extending our research of complex diseases to systematically and accurately characterize complex disease. I am interested in developing novel statistical methods and bioinformatics tools for integrating large, complex multi-omics datasets (e.g. DNA-Seq, RNA-Seq) in research. e.g., I performed integration analysis for cancer at micro-RNA, mRNA, DNA methylation levels. In addition, I am interested in how to transfers knowledge from my basic research to clinical research.

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