Current Member

Daniel M Roy

Funding provided by the Charles Simonyi Endowment
Field of Study
Machine Learning
Home Institution
University of Toronto

Daniel Roy is interested in the foundations of machine learning and statistics, statistical decision theory, and statistical learning theory. While at IAS, Roy will likely focus on understanding generalization, particularly the prospect of numerically tight bounds. Roy is also interested in nonstochastic theories that might form a rigorous foundation for statistical practice.

Dates at IAS
  • Mathematics
1/2020current Spring
Massachusetts Institute of Technology Ph.D., 2011
Massachusetts Institute of Technology M.Eng., 2006
Massachusetts Institute of Technology S.B., 2004
Canada CIFAR AI Chair 2019
Ontario Early Researcher Award 2017
University of Toronto 2014 Assistant Professor
Emmanuel College 2011–2014 Research Fellow