Faculty Profile


Ishanu Chattopadhyay
Section of Hospital Medicine
Assistant Professor of Medicine
ishanu@uchicago.edu

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

More information

 

Clinical Interests

 

Publications

  • J. Dhanoa, B. Manicassamy and I. Chattopadhyay , "Algorithmic Bio-surveillance For Precise Spatio-temporal Prediction of Zoonotic Emergence", https://arxiv.org/abs/1801.07807
  • I. Chattopadhyay, E. Kiciman, J. Elliott, J. Shaman and A. Rzhetsky , "Conjunction of factors triggering waves of seasonal influenza", Elife, eLife 2018;7:e30756
  • I. Chattopadhyay and H. Lipson , "Data Smashing: Uncovering Lurking Order In Data", Royal Society Interface, 11: 20140826
  • I. Chattopadhyay, A. Kuchina, G. Suel and H. Lipson , "Inverse Gillespie for inferring stochastic reaction mechanisms from intermittent samples", Proc Natl Acad Sci U S A. , Vol. 110(32), July 2013, pp 12990-5.
  • I. Chattopadhyay and H. Lipson , "Abductive learning of quantized stochastic processes with probabilistic finite automata.", Philosophical Transactions of The Royal Society A, Vol. 371(1984), Feb 2013, pp 20110543.
For a complete list of publications click here:

Training

  • 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