Rahul G. Krishnan is Assistant Professor of Computer Science and Medicine at the University of Toronto, 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 under Prof. David Sontag, after which he spent the year as a Senior Researcher at Microsoft Research, New England. Rahul’s research focuses on building novel machine learning algorithms to automate clinically meaningful problems, and to advance our understanding of human health. His research has focused on algorithms for probabilistic inference and learning in deep generative models. Prior to his PhD at MIT, Rahul received a BaSc in Computer Engineering from the University of Toronto, and an MS in computer science from New York University.
- Machine Learning
- Machine Learning for Health and Computational Medicine
- Deep Generative Models
- Probabilistic Inference
- Causal Inference
- Holds a Tier 2 Canada Research Chair in Computational Medicine.
- Amazon Research Award (2023)
- Disney Research Award at the Advances in Bayesian Inference Workshop