Ying Huang, PhD

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Dr. Ying Huang PhD
FACULTY MEMBER

Ying Huang, PhD

Professor, Biostatistics, Bioinformatics and Epidemiology Program, Vaccine and Infectious Disease Division, Fred Hutch

Professor, Biostatistics, Bioinformatics and Epidemiology Program
Vaccine and Infectious Disease Division, Fred Hutch

Professor, Biostatistics Program, Public Health Sciences Division, Fred Hutch

Professor, Biostatistics Program
Public Health Sciences Division, Fred Hutch

Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Member
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Fax: 206.667.4378
Mail Stop: M2-C200

Dr. Ying Huang is a biostatistician whose work focuses on biomarkers, which are molecular cues that can help predict the risk of disease or the effects of treatment. Analyses of biomarker studies are useful in disease screening, the identification of surrogate endpoints in clinical trials and in the selection of treatments for cancer and infectious diseases. Using data from randomized trials and observational studies, her team develops statistical methods for the design and analysis of new studies that use biomarkers. Huang and colleagues also explore ways to improve the efficiency of biomarker selection for use in clinical trials.

Other Appointments & Affiliations

Affiliate Professor, Biostatistics, University of Washington

Affiliate Professor, Biostatistics
University of Washington

Member, Fred Hutch/University of Washington/Seattle Children's Cancer Consortium

Member
Fred Hutch/University of Washington/Seattle Children's Cancer Consortium

Education

University of Washington, 2007, PhD (Biostatistics)

Iowa State University, 2000, MS (Molecular, Cellular, and Developmental Biology)

Iowa State University, 1999, MS (Statistics)

Fudan University, 1996, BS (Biochemistry)

Research Interests

Statistical methods for the design and analysis of biomarker studies in cancer and infectious diseases, with applications in disease screening, surrogate endpoint identification, and treatment selection

Missing data methods

Causal inference

Nutritional epidemiology

Current Projects

Statistical Methods for Efficacy Trials of Vaccines and Monoclonal Antibodies Against Genetically-Diverse Pathogens

Accelerating Biomarker Development through Novel Statistical Methods for Analyzing Phase III/IV Studies

Early Detection Research Network

Cancer Screening Research Network

Nutrition and Physical Activity Assessment

Leadership for HIV/AIDS Clinical Trials Networks: HIV Vaccine Trials Network

Seattle Dietary Biomarker Development Center

Find a Clinical Trial Led by Dr. Huang