Vaccine and Infectious Disease Division
Modeling of Human Diseases
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.
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
Research focus: Mathematical and computational modeling; Cancer biomarker discovery; Infectious disease modeling
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)
HIV vaccine development and trial design, combination HIV prevention, mucosal immunology and mucosal sampling design in HIV prevention trials, the intersection of oncology and infectious disease, comparative effectiveness, decision analysis and health-related quality of life
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