Public Health Sciences Division
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
Dr. Li Hsu is a biostatistician who develops statistical methods and conducts collaborative research including observational studies of cancer and other chronic diseases with an emphasis on analysis of survival outcome, genetics and genomics data. Dr. Hsu has developed methods for absolute risk estimation and risk prediction, complex sampling designs, genome-wide association and gene-environment interaction of common and rare variants, analysis of genomic instability, and incorporation of functional data into genetic association studies. She analyzes genetic, genomic and lifestyle/environmental data in population-based and family-based studies with a focus on: genome-wide association and disease risk prediction using genetic and environmental risk factors; evaluation of risk prediction models in cohort studies; gene expression and somatic mutations in tumor tissues; and integration of multi-omics data. She is also interested in electronic health record data and evaluating genetic, biomarker and environmental risk factors with various phenotypes, or observable traits, in real-world settings.
University of Washington
PhD, University of Washington, Biostatistics, 1994
MS, University of Washington, Biostatistics, 1991
BS, Nanjing University, Computer Science, 1989
2017 American Statistical Association Fellow
2015 Prentice Professorship, University of Washington
1991-1994 Merck, Sharp & Dohme Research Laboratories, Predoctoral Fellowship
1991 Donovan J. Thompson Award for outstanding student in biostatistics, University of Washington
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