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
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.
As the COVID-19 pandemic continues to escalate in the United States and in many locations around the world, countless questions remain about next steps for mitigation and response. How will various mitigation methods affect the spread? How will those change as the pandemic progresses or regresses?
Christopher Barrett, executive director, Madhav Marathe, division director, and Bryan Lewis, research associate professor, spoke to S&P Global Market Intelligence about the abilities and limitations of their COVID analytical models.
New data gathered and models created by the University of Virginia Biocomplexity Institute predict the Commonwealth is creeping closer and closer to a surge.
Researchers have developed a model that uses social-media and search data to forecast outbreaks of Covid-19 well before they occur.
The United States coronavirus death toll eclipsed the 100,000 milestone on May 27 and, as of early June, is nearing a figure that few may have expected or feared at the start of the novel coronavirus outbreak.
Health experts are encouraging people to pick lighter colored face masks made of cotton for the hot and humid summer months.
Governor Ralph Northam, in partnership with researchers from the University of Virginia’s Biocomplexity Institute and the nonprofit RAND Corporation, released new infectious disease modeling on the impact of COVID-19 mitigations in Virginia.
The good news from University of Virginia experts is that efforts to combat the coronavirus thus far indicate that the growth rate for new cases is not just slowing but leveling off almost entirely.