Public Health Sciences Division, Fred Hutch
James Dai’s Lab works in statistical genetics and genomics, 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, we are also interested in cancer genomics topics, for example sequencing data analysis and integrative genomic analyses. The overarching scientific interest is to discover and validate cancer genomic markers that drive cancer etiology, predict cancer prognosis and treatment efficacy.
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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