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
Phone: (206) 667-1186
Fax: (206) 667-4378
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.