Scholar
Daniel M. Roy
Google Scholar ID: vA6ZQ_AAAAAJ
Research Director, Vector Institute; Prof., U. Toronto (Statistics, CS)
Citations & Impact
Citations
7,093
H-index
37
i10-index
69
Publications
20
Co-authors
101
list available
Publications
Resume (English only)
Academic Achievements
- In July 2024, his joint work with Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam, and Roi Livni on 'Information Complexity of Stochastic Convex Optimization' won a best paper award at ICML 2024 (given to 10 out of ~10,000 submissions). In April 2024, he was promoted to Full Professor.
Research Experience
- He is a Research Director, CIFAR Canada AI Chair, and Founding Faculty at the Vector Institute. He is also a Professor in the Department of Statistical Sciences and has a cross-appointment in the Department of Computer Science at the University of Toronto, as well as a position in the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough. Since September 2023, he has been named Research Director of the Vector Institute.
Background
- His research focuses on the foundational principles underlying prediction, inference, and decision making under uncertainty. This focus ties together multiple lines of work spanning machine learning, statistics, mathematical logic, applied probability, and computer science.
Miscellany
- Serves as an Action Editor for the Journal of Machine Learning Research. Not taking any new students or postdocs this year.
