Jianxin Shi received a Ph.D. in statistics from Stanford University, California in 2006, under the supervision of Professor David O. Siegmund. Prior to joining NCI, Dr. Shi spent two years as a postdoctoral research fellow and one year as research scientist in the Department of Psychiatric and Behavior Science at Stanford University, working on genome-wide association studies of breast cancer, schizophrenia, and depression. Dr. Shi joined the Biostatistics Branch as a tenure-track investigator in 2009, and was appointed senior investigator in 2016.
Dr. Shi is interested in both developing quantitative methods and leading substantive projects to advance the knowledge about cancer genomics and potential translational applications. His research focuses on three areas: cancer genetic epidemiology, cancer genomics, and microbiome epidemiology.
For cancer genetic epidemiology, Dr. Shi is interested in identifying genetic variants associated with lung cancer, melanoma, and pancreatic cancer, and in developing polygenic risk prediction models for risk stratification. His current methodological research focuses on improving polygenic risk modeling by integrating functional data and pleiotropy information.
For cancer genomics, Dr. Shi is studying the landscape of lung cancer and chordoma and is developing methods for analyzing driver genes, mutual exclusivity, and intratumoral heterogeneity.
For microbiome epidemiology, Dr. Shi is collaborating extensively to investigate the role of gut and oral microbiome in cancer etiology and is developing statistical and computational methods to support large-scale studies.
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