Daniel M. Roy (Preferred)
, Daniel M Roy
, Daniel Roy
, Anonymous A. Author
Daniel M. Roy
Vector Institute
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@utstat.toronto.edu
, ****@gmail.com
, ****@mit.edu
, ****@csail.mit.edu
, ****@utoronto.ca
, ****@gmail.com
Personal Links
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Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Faculty
Vector Institute (vectorinstitute.ai)
2017 – Present
Associate Professor
University of Toronto (utoronto.ca)
2014 – Present
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Shay Moran
****@gmail.com
2020 – Present
Coauthor
Surya Ganguli
****@stanford.edu
2020 – Present
Coauthor
Shai Ben-David
****@uwaterloo.ca
2019 – Present
Coauthor
Dylan Foster
****@mit.edu
2019 – Present
Coauthor
Jonathan Frankle
****@mit.edu
2018 – Present
Coauthor
Michael Carbin
****@csail.mit.edu
2018 – Present
Coauthor
Gintare Karolina Dziugaite
****@gmail.com
2014 – Present
PhD Advisee
Victor Veitch
****@gmail.com
2014 – Present
Postdoc Advisor
Zoubin Ghahramani
****@eng.cam.ac.uk
2011 – 2014
PhD Advisor
Joshua Tenenbaum
****@mit.edu
2006 – 2011
PhD Advisor
Leslie Kaelbling
****@csail.mit.edu
2006 – 2011
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
statistical learning theory
Present
Bayesian statistics
Present
online learning
Present
deep learning
Present