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Rahul G. Krishnan

Assistant Professor
Dept. of Computer Science
Dept. of Laboratory Medicine and Pathobiology
Tier II Canada Research Chair in Computational Medicine
The University of Toronto
CIFAR AI Chair at Vector Institute

Google Scholar, Bio


My goal is to develop machine learning algorithms to create a learning healthcare system, where digitized clinical and biological data are used to improve clinical care while improving our understanding of human & disease biology.

My research interests lie in the following topics:

  • Deep learning: Unsupervised and self-supervised learning algorithms for extracting predictive patterns from noisy, high-dimensional data.

  • Causal inference: Developing methods for estimating causal effects to identify good interventional policies from high-dimensional, time-varying observational data.

  • Reliable machine learning: Developing guardrails for the reliable deployment of machine learning models.


  • Please see the Joining page for information on how to join the group.

  • Please see the Teaching page for the most recent updates if you're enrolled in one my courses in 2023-2024.