Bryan Lewis is a research associate professor in the Network Systems Science and Advanced Computing division. 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 the 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 disease 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.