Rahul G. Krishnan

Faculty Member

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Assistant Professor, Department of Computer Science, University of Toronto

Assistant Professor, Department of Laboratory Medicine and Pathobiology, University of Toronto

Canada CIFAR Artificial Intelligence Chair

Rahul G. Krishnan is Assistant Professor of Computer Science and Laboratory Medicine and Pathobiology at the University of Toronto. He is a Canada CIFAR AI Chair and a Faculty Member of the Vector Institute. He completed his PhD in Electrical Engineering and Computer Science in 2020 from the Massachusetts Institute of Technology after which he worked as Senior Researcher at Microsoft Research, New England. Rahul received a BaSc in Computer Engineering from the University of Toronto, and an MS in computer science from New York University. Rahul’s research focuses on building novel algorithms for decision making to automate clinically meaningful problems, and to advance our understanding of human health.

Research Interests

  • Machine Learning
  • Machine Learning for Health and Computational Medicine
  • Deep Generative Models
  • Probabilistic Inference
  • Causal Inference

Highlights

  • Co-host of the podcast What Now AI! by the University of Toronto
  • Tier 2 Canada Research Chair in Computational Medicine.
  • Amazon Research Award (2023)
  • Disney Research Award at the Advances in Bayesian Inference Workshop

Publications

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