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.

Faculty

Research Associate Professor, Biostatistics, University of Washington
Graduate Faculty, Biostatistics, University of Washington
PI, Statistical and Data Management Center, Microbicide Trials Network
Phone: (206) 667-1731
Fax: (206) 667-4812
Senior Staff Scientist, Public Health Sciences Division
Research focus: Mathematical and computational modeling; Cancer biomarker discovery; Infectious disease modeling
Phone: (206) 667-1186
Fax: (206) 667-4378
Senior Staff Scientist, Public Health Sciences Division
Affiliate Assistant Professor, Applied Mathematics, University of Washington
Director of Clinical Development, HIV Vaccine Trials Network (HVTN)
Clinical Trials Physician/Protocol Team Leader, HIV Vaccine Trials Network (HVTN)
Assistant Member, Clinical Research Division
Assistant Professor, Medicine, University of Washington
Study Physician, UW Virology Research Clinic, University of Washington
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.
Fred Hutchinson Cancer Research Center is a world leader in research to prevent, detect and treat cancer and other life-threatening diseases.