Stephen Eubank

Stephen Eubank serves as Professor of Biocomplexity and Professor of Public Health Sciences at the University of Virginia, where he holds a tenured position in the Department of Public Health Sciences and acts as deputy director of the Biocomplexity Institute. His work bridges computational modeling, epidemiology, and complex systems theory with significant contributions to large-scale simulation frameworks.

Eubank's educational background includes:

• B.A. in Physics from Swarthmore College (1979)
• Ph.D. in Physics from the University of Texas at Austin (1986)
• Postdoctoral Associate in Fluid Turbulence at La Jolla Institute (1987)
• Postdoctoral Associate in Nonlinear Dynamics at Los Alamos National Laboratory (1991)

His research centers on simulating socio-technical systems and computational epidemiology, with particular expertise in network structure dynamics and scaling phenomena. Eubank investigates how disease transmission and other diffusive processes interact with underlying network topologies, developing advanced simulation technologies for modeling realistic population behaviors. His work integrates physics-based approaches with public health applications through the Urban Infrastructure Suite framework.

Eubank maintains an active research leadership profile as Principal Investigator for a key research group within the National Institutes of Health's MIDAS network. His career includes founding Prediction Company for market time-series analysis and serving as Visiting Scientist at ATR Kyoto for natural language processing research.

As deputy director of the Biocomplexity Institute, Eubank leads the Urban Infrastructure Suite initiative—a collection of interoperable simulations modeling individual behaviors across entire urban regions. This work integrates physical infrastructure networks with social dynamics to model complex system interactions, building on his earlier TRANSIMS and EpiSims projects developed during his tenure at Los Alamos National Laboratory.