Faculty Profile

Ishanu Chattopadhyay
Section of Hospital Medicine
Assistant Professor of Medicine

Academic Interests

Dr. Chattopadhyay’s research focuses on the theory of unsupervised machine learning, and the interplay of stochastic processes and formal language theory, in exploring the mathematical underpinnings of the question of inferring causality from data. His most visible contributions include the algorithms for data smashing, inverse Gillespie inference, and non-parametric nonlinear and zero-knowledge implementations of Granger causal analysis, that have crucial implications for biomedical informatics, data enabled discovery in biomedicine, and personalized precision healthcare. His current work focuses on algorithmic prediction of zoonotic emergence, analyzing massive clinical databases of disparate variables to distill patterns indicative of hitherto unknown etiologies, unsupervised inference of complex spatio-temporal data sets spanning biology, medicine and social interactions.

Laboratory Webpage

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Clinical Interests



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  • MS, 2005, The Pennsylvania State University, Mechanical Engineering
  • MA, 2006, The Pennsylvania State University, Mathematics
  • PhD, 2006, The Pennsylvania State University, Mechanical Engineering
  • Postdoctoral Fellow, 2008, The Pennsylvania State University, Robotics & Automated Decision-Making
  • Postdoctoral Fellow, 2011, Cornell University, Computer Science