Network Systems Science and Advanced Computing

Bryan Lewis

  • Research Associate Professor
Bryan Lewis New Website


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
Epidemics - Special Issue on Ebola Challenge, (2017) Venkatramanan S, Lewis B, Chen J, Higdon D, Kumar VSA, Marathe M
Network Systems Science and Advanced Computing
F1000Research, 3(38).: (2014) Rivers C, Lewis B.
Network Systems Science and Advanced Computing
Journal of Public Health Management and Practice, 19(Suppl 5):S42-8.: (2013) Lewis B, Swarup S, Bisset K, Eubank S, Marathe M, Barrett C.
Network Systems Science and Advanced Computing
Complex Systems: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer International Publishing; 165-178.: (2013) Jimenez J, Lewis B, Eubank S.
In the News

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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