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.
Public health and epidemiology, epidemiologic modeling, social network construction, and graph measures and dynamic networks
Virginia Tech, Genetics, Bioinformatics, and Computational Biology, Ph.D., 2011
University of California - Berkeley, Infectious Diseases, M.P.H., 2001
Carnegie Mellon University, Computational Biology, B.S., 1997
California Department of Health Services, Tuberculosis Control Branch, Surveillance and Epidemiology Section, 2001-2003
While the flu season is far from over and flu cases have been reported year-round in the United States in the past, during a typical year, influenza cases would likely ramp up during the fall and winter, peaking in February. Not this year.
In this paper, researchers focus on a machine-learned anonymized mobility map aggregated over hundreds of millions of smartphones and evaluate its utility in forecasting epidemics, specifically the flu.
The model predicts that under conditions of “strong control” the number of statewide cases could instead peak around Jan. 10.
Traffic planners, securities traders and military strategists all use it. Simulating the behavior of millions of idiosyncratic individuals also may be the best way to understand complex phenomena like pandemics.
New tool provides projections of critical data on bed capacity and hospitalization rates.
Hospitalizations from coronavirus are at a new high this week in Virginia. Meanwhile, one model projects some regions could run out of bed space by January if the current growth rate continues.
Researchers across Grounds joined the effort to defeat COVID-19—even as the world plunged abruptly into a new reality of shutdowns and social distancing—bringing their expertise together to understand the virus and prevent and treat infection.
Mallory Noe-Payne, Jeff Bossert, and researcher Bryan Lewis discuss the status of Virginia's fight against COVID-19 as we head toward the Thanksgiving holiday.
Bryan Lewis and Stephen Eubank share their experiences mentoring Caitlin Rivers, a young epidemiologist helping to inform policy.
The UVA Biocomplexity Institute has received a $1.44M award from the National Science Foundation for a Virtual Organization (VO) that will facilitate communication and collaboration among CISE scientists currently involved in pandemic research through the NSF RAPID program.