Network Systems Science and Advanced Computing

Bryan Lewis

  • Research Associate Professor
Bryan Lewis New Website
Bio

Bio

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

Selected Publications
Network Systems Science and Advanced Computing
Venkatramanan S; Lewis B; Chen J; Higdon D; Kumar VSA; Marathe M . Epidemics - Special Issue on Ebola Challenge. 2018; 22:43-49
Network Systems Science and Advanced Computing
Rivers C; Lewis B . F1000Research. 2014; 3(38)
Network Systems Science and Advanced Computing
Lewis B; Swarup S; Bisset K; Eubank S; Marathe M; Barrett C . Journal of Public Health Management and Practice. 2013; 19:S42-S48
Network Systems Science and Advanced Computing
Jimenez J; Lewis B; Eubank S . Complex Systems: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer, Cham. 2013; 126:165-178
In the News
COVID-19

When the coronavirus reached Virginia, public health officials worried there would be so many patients, they would need to start building field hospitals right away. But a team of University of Virginia scientists, part of the Biocomplexity Institute, told the state to wait. The governor’s stay-at-home order, quarantines and social distancing that began in March 2020 could slow the disease’s spread.

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COVID-19

Bryan Lewis, a computational epidemiologist at UVA’s Biocomplexity Institute, said the plummeting numbers were a surprise to scientists analyzing the data. “There are about 30 or 40-odd academic groups participating in the CDC’s forecasting hub, and I don’t think any of them predicted the cliff we fell off there,” Lewis said, adding that cases dropped dramatically not just in Virginia, but across the country.

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COVID-19

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.

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COVID-19

People are taking social distancing seriously – even when it comes to their health care decisions. The Centers for Disease Control and Prevention (CDC) reported Friday that influenza-like illness (ILI) activity decreased by 14 percent for the week ending March 28 compared to the prior week. 

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COVID-19

A third spike in influenza-like illness (ILI) activity in the United States now puts the 2019-20 flu season on track to be perhaps the longest in at least the last 20 years of record-keeping by the Centers for Disease Control and Prevention (CDC). 

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Lewis