Public Health Sciences Division, Fred Hutch
Dr. James Dai leads a team working in statistical genetics and genomics, the design and analysis of randomized clinical trials, statistical methods for high-dimensional feature selection and prediction, gene-treatment interaction, mediation, and instrumental variables regression. Methodologically, Dr. Dai is also interested in cancer genomics topics, for example integrative genomic analyses and intra-tumor heterogeneity. He and his team’s overarching scientific interest is to discover and validate genomic markers that drive cancer etiology and predict cancer prognosis and treatment efficacy.
Affiliate Associate Professor, Biostatistics
University of Washington
University of Washington, 2007, Ph.D. (Biostatistics)
University of Minnesota, 2002, M.S. (Biostatistics)
University of Pittsburgh, 2000, M.S. (Molecular Pathology)
Beijing University Medical Center, 1998, M.D. (Basic Medicine)
DNA methylation and mediation analysis
Cancer genetics and genomics
Statistics genetics and genomics for epidemiologic studies
Genetic and epigenetic variants and risk of prostate cancer development and progression
Gene-treatment interaction and mediation in cancer clinical trials
Genetic association leveraging molecular intermediates, e.g. gene expression
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