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JAX Frontend Platform

ji-gang-zhang

Ji-Gang Zhang, Ph.D.

Computational Scientist

My interest mainly lies in developing and applying statistical, system computational approaches and machine learning algorithms to discover complex disease mechanisms, biomarkers and treatment targets by integrating multiple “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 interested in developing and applying statistical methods and bioinformatics tools for integrating large, complex multi-omics datasets (e.g. DNA-Seq, bulk RNA-Seq, sc/snRNA-Seq) in research, e.g. Alzheimer's disease and cancer.

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