Qian (Vicky) Wu, PhD

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Dr. Qian (Vicky) Wu PhD
faculty member

Qian (Vicky) Wu, PhD

Associate Professor, Clinical Research Division, Fred Hutch

Associate Professor
Clinical Research Division, Fred Hutch

Associate Professor, Public Health Sciences Division, Fred Hutch

Associate Professor
Public Health Sciences Division, Fred Hutch

Member, Immunotherapy Integrated Research Center (IIRC), Fred Hutch

Member
Immunotherapy Integrated Research Center (IIRC), Fred Hutch

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

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

Mail Stop: M2-B230

Dr. Qian Vicky Wu has broad experience and expertise in clinical trial design, modeling and statistical analysis of biomarkers, genetics, and patient outcomes. Her research focuses on developing statistical models to predict how patients will respond to treatments based on unique molecular signatures. Dr. Wu has developed computational tools for data analysis, including CNVtest, ChIPtest and Sample N. Sample N is a user-friendly, open-source R Shiny tool that helps researchers design clinical trials with the proper sample size. Dr. Wu is the lead biostatistician for many immunotherapy trials running at both Fred Hutch and Seattle Children’s. She has also studied head and neck, prostate, and lung cancers and adolescent smoking behaviors.

Other Appointments & Affiliations

Affiliate Investigator, Translational Science and Therapeutics Division, Fred Hutch

Affiliate Investigator
Translational Science and Therapeutics Division, Fred Hutch

Education

PhD, Biostatistics, University of Pennsylvania, 2013

MS, Biostatistics, University of California, Los Angeles, 2010

BS, Statistics, Beijing Normal University, 2008

Research Focus

Dr. Wu has worked as the primary statistician/co-investigator with world famous clinicians and researchers in a wide range of organizations, including cancer research centers, hospitals, a pharmaceutical company, and consulting firm, and conducted fruitful research that resulted in peer-reviewed publications. Her major research focus is using complex genetic/biomarker information to optimize trial design and developing efficient statistical algorithms to identify patient subgroups with better/worse responses to a particular treatment. To date, she has participated in many phase I/II immunotherapy trials, phase II/III studies of head and neck cancer and prostate cancer, an observational study of late stage lung cancer and an investigation of adolescent smoking behaviors targeting tobacco prevention strategies.

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