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Daniel Roy


  • Canada CIFAR AI Chair
  • Pan-Canadian AI Strategy



Faculty Member, Vector Institute; Assistant Professor, Dept. of Computer and Mathematical Sciences, University of Toronto Scarborough, Dept. of Statistical Sciences and Dept. of Computer Science, University of Toronto

Probabilistic programming languages and systems, machine learning, statistical learning theory, network models, computational statistics

Major Contributions/Awards:
Ontario Early Researcher Award (2017); Google Faculty Research Award (2017); Founding member, Vector Institute (2017);  Organizer, 1st, 2nd, and 3rd NIPS Workshops on Probabilistic Programming (2008, 2012, 2014); Best Poster, Conference on Bayesian Nonparametrics (2015);  Best Poster, Canadian Statistics Student Conference (2015).

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