Madhav Marathe

Madhav Marathe is a tenured Professor of Computer Science and the Distinguished Professor in Biocomplexity at the University of Virginia, where he also serves as Executive Director of the Biocomplexity Institute. He has held leadership roles at Virginia Tech and Los Alamos National Laboratory, and his work is deeply rooted in transdisciplinary team science.

His research spans a wide range of domains including network science, artificial intelligence, computational epidemiology, high-performance computing, and complex systems. He develops foundational methods to model, analyze, and control large-scale biological, information, social, and technical (BIST) systems. His work integrates theoretical computer science with practical applications in public health, disaster response, and infrastructure resilience.

The recent publications reflect a strong trend toward data-driven modeling of societal challenges—especially in pandemic response, forced migration, and energy systems. His team leverages agent-based simulations, machine learning, and high-performance computing to create scalable, policy-relevant models that support real-world decision-making.

• Fellow, American Association for the Advancement of Science (AAAS)
• Fellow, Association for Computing Machinery (ACM)
• Fellow, Institute of Electrical and Electronics Engineers (IEEE)
• Fellow, Society for Industrial and Applied Mathematics (SIAM)
• Distinguished Researcher Award, University of Virginia (2023)
• Honorary Doctoral Degree, Chalmers University (2023)
• Best Paper Award, SIGKDD 2021 (Applied Data Science)
• Endowed Distinguished Professor of Biocomplexity (2019)
• Dean’s Award for Excellence in Research, Virginia Tech (2018)
• Constellation Group’s Supernova Award (2016)

Dr. Marathe has mentored over 30 doctoral students, 20+ MS students, and 15 postdoctoral fellows, and has led major federally funded projects including those related to computational epidemiology and national security. His lab, the Biocomplexity Institute, develops high-performance computing services and data analytics platforms for policymakers and emergency planners. He is also involved in initiatives such as the National Security Data and Policy Institute and the Expeditions in Global Pervasive Computational Epidemiology.