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I am an Assistant Professor at the University of Toronto in CS and LMP. I received my PhD from MIT advised by Prof. David Sontag where I was part of the Clinical ML Group. I received a BASc in Computer Engineering at the University of Toronto and an MS from New York University. I was previously a senior researcher at Microsoft Research New England.


  • 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.

Research interests

My research lies at the intersection of machine learning and healthcare. I am interested in developing new machine learning methods to automate clinical decision making.

My current research is focused on the following themes:

  • Deep generative modeling: Developing new methods forprobablistic inference and parameter estimation in deep generative models to make them practical tool for uncovering patterns within, and making predictions with complex, multi-modal data.

  • Multi-modal models: Developing new learning frameworks for supervised and unsupervised learning that leverage different modalities of data and auxiliary information.

  • Insights from observational and interventional data: Developing methods to identify good interventional policies from time-varying observational data.