Peter B. Gilbert

Research Professor, Department of Biostatistics, University of Washington

Education:

PhD Biostatistics, University of Washington, Seattle, WA, 1996
BS Mathematics, University of Washington, Seattle, WA, 1992

Contact Information:

Department of Biostatistics, University of Washington
Hans Rosling Center for Population Health, Guthrie Annex 3 (GA3)
Seattle, WA 98105



Research Interests:

My research program centers on the statistical design and analysis of vaccine efficacy trials, especially HIV Vaccine Trials Network (HVTN) trials of candidate HIV vaccines, and also trials of candidate vaccines against other genetically-heterogeneous infectious diseases including dengue, malaria, and SARS-CoV-2. The research integrates innovative statistical methods with applications, with major application area the assessment of "immune correlates of protection" including "sieve analysis" that assesses how vaccine efficacy depends on pathogen features (sequence-based and immunophenotypes), a statistical field that Dr. Gilbert pioneered and led development with colleagues. The novel methods research contributes to general biostatistical fields including competing risks survival analysis, missing data (e.g., two-phase sampling designs), causal inference (e.g., principal stratification, controlled and stochastic interventional effects, natural effects mediation), and the evaluation of surrogate endpoints; the methods focus on robust and efficient techniques including targeted learning methods that integrate machine learning into inferences. Closely connected to its HVTN research on HIV vaccines, the Gilbert Group also focuses on HVTN efficacy trials of broadly neutralizing monoclonal antibodies for prevention of HIV acquisition, and on COVID-19 Prevention Network (CoVPN) harmonized COVID-19 vaccine efficacy trials. The Gilbert Group conducts the research through extensive collaboration with University of Washington biostatistics doctoral and masters students, and conducts the research in close collaboration with immunology and virology labs.

Links:

• CV (PDF)
• Fred Hutchinson Cancer Center Webpage (Expanded Info- Students, Teaching, Computing, etc.)
• HIV Vaccine Trials Network
• Summer Institute in Statistics and Modeling in Infectious Diseases, July 2017, Module 16 on Evaluating Vaccine Efficacy (with Dean Follmann, Erin Gabriel, Michael Sachs)
• SanofiPasteur Correlates R Training (Michal Juraska, Ted Westling, Peter Gilbert)

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