Network Systems Science and Advanced Computing

Stephen Eubank

  • Professor
  • Professor of Public Health Sciences, School of Medicine
Stephen Eubank's headshot


Stephen Eubank is deputy director in the Network Systems Science and Advanced Computing division and a tenured professor, Department of Public Health Sciences. Eubank has previously researched fluid turbulence, nonlinear dynamics and chaos, time series analysis of markets (as a founder of Prediction Company), natural language processing (as Visiting Scientist at ATR in Kyoto, Japan), and simulations of large interaction-based systems. As a staff member at Los Alamos National Laboratory, Eubank played a leading role in the development of the traffic microsimulation component of the Transportation Analysis and Simulation System (TRANSIMS), developed the Epidemiological Simulation System(EpiSims) project, and served as team leader for the Urban Infrastructure Suite (UIS), of which both TRANSIMS and EpiSims are parts. UIS is a collection of interoperable simulations of interacting infrastructures, each of which simulates the behavior of every individual in a large urban region. The goal of UIS is to model the dynamics of systems including both physical and social components. Eubank joined the Biocomplexity Institute of Virginia Tech in January 2005, and pursued interests both in developing advanced technology for the study of realistic socio-technical systems and also in understanding how the dynamics of diffusive processes on networks, such as disease transmission, are related to the structure of the underlying networks. Eubank also serves as the Principal Investigator for one of the research groups that forms the National Institute of Health'S MIDAS (Modeling Infectious Disease Agent Study) network.


  • Simulating large socio-technical systems, computational epidemiology, scaling in complex systems, and network structure and graph theory

  • Swarthmore College, B.A. Physics, 1979
    University of Texas at Austin, Ph.D. Physics, 1986
    Los Alamos National Lab, Nonlinear Dynamics, Postdoctoral Associate, 1991
    La Jolla Institute, Fluid Turbulence, Postdoctoral Associate, 1987

Selected Publications
Network Systems Science and Advanced Computing
Eubank S; Ren Y; Nath M; Adiga Ani . submitted to SIAM Review. 2021;
In the News
Epidemic Response

Researchers from UVA’s Biocomplexity Institute and School of Engineering and Applied Science, working with a team of multi-disciplinary scientists from around the world, have spent the last two years developing highly advanced computational models designed to inform policy makers, save lives and prepare for future global epidemics.


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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