About Us


Infectious disease epidemiology is an important, complex, global societal problem. Currently, emerging challenges --- climate change, political instability, urbanization, and others --- threaten to slow recent progress in this area. 

Epidemic science also motivates fundamental problems in computing, with broad impacts possible in social networks, cyber-security, web science, and public health policy.

We see a timely opportunity to simultaneously make fundamental advances in computing, data science, and artificial intelligence that will yield significant societal, health, and economic benefits.

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Metrics of Success


Establish Computational Epidemiology Community in Computer Science

  • Develop new theoretical transdisciplinary frameworks (e.g. Socio-political epidemiology, ML-based exascale simulations, computational theory of spreading processes)
  • Publish high-impact research articles

Impact Public Policy

  • Develop and assess new, implementable strategies for controlling epidemic outbreaks
  • Support real-time decisions and analysis during factual epidemics
  • Develop and deploy Cyber-Environment for Real-Time Epidemic Science (CERTES) for epidemiological responders and policy makers

Inform Thought Leadership

  • Organize annual meetings 
  • Organize DIMACS and SAMSI workshops
  • Develop new education and training programs for next-generation epidemiologists


Madhav Marathe
Principal Investigator University of Virginia
Anil Vullikanti
Scientific Coordinator University of Virginia

Center for Disease Dynamics, Economics & Policy

Georgia Tech

Jackson State University

Lawrence Livermore National Laboratory

Massachusetts Institute of Technology

Oak Ridge National Laboratory

Princeton University

Stanford University

University of Maryland

University of Virginia

Virginia Tech

Yale University


Albert Esterline
North Carolina A&T
Anuj Mubayi
The Public Health Company

Project Managers

Golda Barrow
University of Virginia
Erin Raymond
University of Virginia