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Huang
Ying Huang, PhD
- Professor, Biostatistics, Bioinformatics and Epidemiology Program, Vaccine and Infectious Disease Division, Fred Hutch
- Professor, Biostatistics Program, Public Health Sciences Division, Fred Hutch
- Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
- Affiliate Professor, Biostatistics, University of Washington
- Member, Fred Hutch/University of Washington/Seattle Children's Cancer Consortium
Background
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.
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