Vaccine and Infectious Disease Division
Advances in computational techniques have resulted in a cooperative relationship between biological and mathematical/statistical scientists. Using mathematical models for studying human disease processes, such as infectious disease, autoimmunity or cancer, has had a unifying effect on laboratory and clinical studies. Where molecular and animal models have been invaluable to the study and understanding of human disease, mathematical and statistical modeling is a fundamental element in the forward progression of rigorous medical research.
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Characterizes virus diversity, evolution, circulation patterns. Identifies epidemiological patterns from sequence data and develops methods to predict evolutionalry growth or decay across strains.
Phone: (206) 667-6372
Design and analysis of trials for HIV prevention, joint models for longitudinal and survival data and
statistical methods in HIV/AIDS and cardiovascular research.
Phone: (206) 667-1731
Fax: (206) 667-4812
Mathematical modeling of virus and immune system dynamics. Population/within-host dynamics approach to quantify HIV-1 infection and treatment efficacy (ordinary differential equations, nonlinear mixed effects models).
Phone: (206) 667-7940
Research focus includes the development of statistical methods for analysis of survival and longitudinal data from clinical trials and epidemiological studies.
Phone: (206) 667-7051
Fax: (206) 667-4378
Research interests include mathematical modeling of infectious diseases, evaluating impact of interventions for HIV prevention, mathematical biology (population dynamics, epidemic modeling) and dynamical systems (ODE, PDE, and impulsive systems)
The conduct of HIV vaccine trials, novel vaccine strategies, the conduct of clinical trials in resource-poor settings, and factors that help prevent sexual transmission of HIV.
Phone: (206) 667-7938
Fax: (206) 667-7711
HVTN cross-protocol analyses
Research focus includes vaccine clinical trials, the design and analysis of Phase I/II trials, for evaluating vaccine effects on immune responses; the design and analysis of Phase 2b/III trials, for evaluating vaccine efficacy, immune correlates, sieve analysis, and post-infection vaccine effects; general biostatistical methods research, such as survival analysis, causal inference, and evaluation of surrogate endpoints
Phone: (206) 667-7299
Fax: (206) 667-4812
Research interests include analysis of immune response to vaccine candidates, study design for pilot studies, statistical methods for biological assays, and infectious disease models.
Phone: (206) 667-2310
Interest in describing the quantitative and dynamical features of human pathogens and immune responses. Most of work to-date is on the pathogenesis of HSV-2 infection but also interested in applying models to optimize viral eradication startegies, and to use models to capture kinetic features of the human microbiome.
Research focus includes ecology of human microbial communities, impact of bacterial interactions on health and disease, molecular diagnosis of bacterial pathogens and bacterial adaptive responses
Epidemiologic studies of infectious disease transmission, vaccine studies and the development of novel statistical methods and designs for studies of infectious disease transmission. Efficacy and effectiveness assessments of control and prevention strategies for infectious diseases of import to global health, including influenza, cholera, dengue, and tuberculosis
Statistical methods in HIV/AIDS research and monitoring and analyzing drug adherence patterns. Transmission models for infectious disease epidemiology.
Phone: (206) 667-4526