Daniel Roy

Associate Professor
Sidney Smith Hall |100 St. George Street | Room: 6027F
416-978-4220

Campus

Cross-Appointments

Department of Computer Science, University of Toronto
Computer and Mathematical Sciences, UTSC
Vector Institute
Electrical and Computer Engineering

Fields of Study

Areas of Interest

  • Foundations of machine learning and statistics
  • Models of complex structures (graphs, etc.) from probabilistic symmetries
  • Probabilistic programming
  • Computable probability theory
  • Bayesian nonparametric statistics

Biography

Daniel Roy is Canada CIFAR AI Chair at the Vector Institute and associate professor in the Departments of Statistical Sciences, Computer Science, Electrical and Computer Engineering, and Computer and Mathematical Sciences. Roy's research spans machine learning, mathematical statistics, and theoretical computer science. Roy is a recent recipient of a NSERC Discovery Accelerator Supplement, an Ontario Early Research Award, and a Google Faculty Research Award. Prior to joining Toronto, Roy was a Research Fellow of Emmanuel College and Newton International Fellow of the Royal Society and Royal Academy of Engineering, hosted by the University of Cambridge. Roy completed his doctorate in Computer Science at the Massachusetts Institute of Technology, where his dissertation was awarded the MIT EECS Sprowls Award, given to the top theses in computer science in that year.

Education

PhD, Massachusetts Institute of Technology
BSc, Massachusetts Institute of Technology

Awards