James Dai, Ph.D.


James Dai, Ph.D.

Public Health Sciences Division, Fred Hutch

Mail Stop: M2-B500

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.

Other Appointments & Affiliations

Affiliate Professor
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)

Research Interests

Genetic association

Gene-environment interaction

DNA methylation and mediation analysis

Cancer genetics and genomics

Current Projects

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

Find a Clinical Trial

For the Media

The Media Relations team at Fred Hutch is available to assist members of the news media who would like to arrange interviews with faculty.

Email media@fredhutch.org or call 206.667.2210