Statistical methods in HIV/AIDS research , Causal inference in randomized clinical trials , Large-scale genetic association , Inference in gene-environment interaction , Mediation effect

Bio


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, his lab is also interested in cancer genomics topics, for example integrative genomic analyses and intra-tumor heterogeneity. The overarching scientific interest is to discover and validate and genomic markers that drive cancer etiology, predict cancer prognosis and treatment efficacy.

Institution


Fred Hutch Public Health Sciences Division Associate Professor
University of Washington Biostatistics Affiliate Associate Professor