معرفی
Peter Gilbert is a Research Professor of Biostatistics at the University of Washington and a member of the Vaccine and Infectious Disease Division at the Fred Hutchinson Cancer Research Center. He specializes in statistical design and analysis of vaccine efficacy trials, particularly for HIV, malaria, and SARS-CoV-2. His research focuses on immune correlates of protection, sieve analysis, and causal inference methods. Dr. Gilbert leads the Statistical Data Management Center for the HIV Vaccine Trials Network (HVTN) and co-directs the Statistical Center for the Coronavirus Prevention Network (CoVPN).
Education: B.S. Mathematics, M.S. and Ph.D. in Biostatistics from the University of Washington.
Research interests include biomarkers, clinical trial design, survival analysis, and high-dimensional data methods. His work has led to innovations in statistical methods for evaluating vaccine efficacy and understanding pathogen-specific immune responses.
Key achievements include developing statistical tools like SieveSifter and contributing to the analysis of the RV144 HIV vaccine trial, which demonstrated partial efficacy. He has advised numerous doctoral students and holds awards such as the Marvin Zelen Leadership Award (2025) and Fellow of the American Statistical Association (2014).
Current projects involve analyzing mRNA-1273 vaccine efficacy, SARS-CoV-2 mutations, and dengue vaccine development. His group collaborates extensively with global health initiatives and industry partners to advance vaccine science.
