Bryan Lewis is a research associate professor. His research has focused on understanding the transmission dynamics of infectious diseases within specific populations through both analysis and simulation. Lewis is a computational epidemiologist with more than 15 years of experience in crafting, analyzing, and interpreting the results of models in the context of real public health problems.

As a computational epidemiologist, Lewis acts as a liaison between computer scientists and mathematicians designing and building simulation software and decision-makers who want answers to pressing public policy questions. For more than a decade, Lewis has been heavily involved in a series of projects forecasting the spread of infectious diseases as well as evaluating the response to them in support of the federal government. These projects have tackled diseases from ebola to pandemic influenza and melioidosis to cholera.

Research Interests

Public health and epidemiology, epidemiologic modeling, social network construction, and graph measures and dynamic networks

Education

University of California - Berkeley, Infectious Diseases, M.P.H., 2001 
Carnegie Mellon University, Computational Biology, B.S., 1997

Professional Preparation

California Department of Health Services, Tuberculosis Control Branch, Surveillance and Epidemiology Section, 2001-2003 Virginia Tech, Genetics, Bioinformatics, and Computational Biology, Ph.D., 2011