Li Hsu

LI Hsu Headshot
Affiliate Professor
Biostatistics
Member, Public Health Sciences Division,
Fred Hutchinson Cancer Research Center
PhD
Biostatistics
University of Washington
1994
MS
Biostatistics
University of Washington
1991
BS
Computer Science
Nanjing University
1989

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.

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.

Statistical methods and collaborative research including observational studies
Survival outcome genetics and genomics data
Genetic genomic and lifestyle/environmental data in population-based and family-based studies
Electronic health record data and evaluating genetic biomarker and environmental risk factors
PhD
Biostatistics
University of Washington
1994
MS
Biostatistics
University of Washington
1991
BS
Computer Science
Nanjing University
1989

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.

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.

Statistical methods and collaborative research including observational studies
Survival outcome genetics and genomics data
Genetic genomic and lifestyle/environmental data in population-based and family-based studies
Electronic health record data and evaluating genetic biomarker and environmental risk factors