Li Hsu, Ph.D.


Li Hsu, Ph.D.

Public Health Sciences Division

Fax: 206.667.7004
Mail Stop: M2-B500

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.

Other Appointments & Affiliations

Affiliate Professor
University of Washington


Ph.D., University of Washington, Biostatistics, 1994

M.S., University of Washington, Biostatistics, 1991

B.S., Nanjing University, Computer Science, 1989

Honors & Awards

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

Find a Clinical Trial

Dr. Hsu in the News

Homing in on inherited colorectal cancer risk

Hutch News - December 20, 2022

Colorectal cancer risk meets precision medicine

Science Spotlight - April 16, 2018

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 or call 206.667.2210