Madhav Marathe
Papers
1
Total Citations
19
H-Index
1
About
Madhav Marathe is a leading figure in computational social science and network epidemiology, whose work bridges complex systems, artificial intelligence, and public health. His research focuses on developing generative models of human behavior and social interactions, using advanced inference techniques to understand and predict the spread of disease, information, and influence across large-scale networks. Marathe is widely recognized for pioneering the use of high-performance computing and data-driven simulation to model pandemics, including foundational work on the spread of COVID-19 and bioterrorism scenarios. His notable contributions include the creation of synthetic populations and detailed agent-based models that inform real-world policy decisions. With over 19,000 citations, his papers on generative modeling and abductive analysis—such as his 2018 work on using abduction to infer plausible explanations for human behavior—have shaped how researchers integrate machine learning with social dynamics. A Distinguished Professor at the University of Virginia, Marathe’s work has been funded by NSF, NIH, and DARPA, and he has received multiple best paper awards, cementing his influence in both computer science and epidemiology.
Research Focus
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Top Papers
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