Virginia Tech® home

Stephen Eubank, PhD

Adjunct Professor
Stephen Eubank
Department of Population Health Sciences
VA-MD College of Veterinary Medicine
Virginia Tech
205 Duck Pond Drive
Blacksburg, VA 24061

Postdoctoral Associate, 1991
Los Alamos National Lab, Nonlinear Dynamics

Postdoctoral Associate, 1987
La Jolla Institute, Fluid Turbulence

PhD, Physics
University of Texas
Austin, TX

BA, Physics, Honors
Swarthmore College
Swarthmore, PA

Deputy Director
Network Systems Science and Advanced Computing
Biocomplexity Institute
University of Virginia
Charlottesville, VA

Professor of Public Health Sciences
School of Medicine
University of Virginia
Charlottesville, VA

Deputy director in the Network Systems Science and Advanced Computing division and a tenured professor in the Department of Public Health Sciences at the University of Virginia, 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 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
  • Network structure and graph theory