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Zhao
Lue Ping Zhao, PhD, MS

Lue Ping Zhao, PhD, MS

  • Professor, Biostatistics Program, Public Health Sciences Division, Fred Hutch
  • Head, Genetic Epidemiology and Microarray Technology Affinity Group, Fred Hutch
  • Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
  • Affiliate Investigator, Clinical Research Division, Fred Hutch
206.667.6927
206.667.2437

Background

Dr. Lue Ping Zhao is a biostatistician with a background/experience in bioinformatics, epidemiology and genetics. He aims to accelerate the translation of big data technologies and findings to clinical practice and preventive medicine. Dr. Zhao studies the mechanisms of solid-tumor growth using expression and SNP arrays, and short-read sequencing methods. His research interests include genetic epidemiology, biomedical informatics, population-based study designs and risk-prediction modeling. He develops statistical methods for assessing the interplay of genetics and environment on disease risk, including genome-wide association studies and gene-sequence analysis. He has developed innovative study designs and methods that enable interdisciplinary collaborations, bridging the gap between genetic and epidemiologic research.

Education

PhD, Biostatistics, University of Washington, 1989

MS, Biostatistics, University of Washington, 1987

MS, Statistics in Health Science, Shanghai Medical University, 1985

BS, Computer Science, Shanghai University of Science and Technology, 1982

Research Interests

Estimating equation techniques, developing statistical methods for assessing genetic associations, gene-environment interactions including methods for haplotype-based methods, genome-wide association studies, time-varying phenotypes and sequence analysis.

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Stories

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Honoring years of service at Fred Hutch Celebrating staff whose decades of service have helped shape our mission November 14, 2025
Researchers link mutations in coronavirus' internal machinery to higher risk of severe disease Early COVID-19 patients were more likely to be hospitalized if virus carried genetic trait January 25, 2022
COVID-19 and what else? Researchers use metagenomics to find out Pairing genome sequencing with cloud computing makes a speedy screen for coinfections, new viral threats October 15, 2020