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.

Daniel M. Roy (Preferred)
,
Daniel M Roy
,
Daniel Roy
,
Anonymous A. Author

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

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)
2017Present
 
Associate Professor
University of Toronto (utoronto.ca)
2014Present
 

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
2020Present
 
Coauthor
Surya Ganguli
****@stanford.edu
2020Present
 
Coauthor
Shai Ben-David
****@uwaterloo.ca
2019Present
 
Coauthor
Dylan Foster
****@mit.edu
2019Present
 
Coauthor
Jonathan Frankle
****@mit.edu
2018Present
 
Coauthor
Michael Carbin
****@csail.mit.edu
2018Present
 
Coauthor
Gintare Karolina Dziugaite
****@gmail.com
2014Present
 
PhD Advisee
Victor Veitch
****@gmail.com
2014Present
 
Postdoc Advisor
Zoubin Ghahramani
****@eng.cam.ac.uk
20112014
 
PhD Advisor
Joshua Tenenbaum
****@mit.edu
20062011
 
PhD Advisor
Leslie Kaelbling
****@csail.mit.edu
20062011
 

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