University of Toronto homepage
Photo of Daniel Roy

Daniel Roy

Professor

University of Toronto Scarborough, Department of Computer and Mathematical Sciences

Orcid identifier0000-0001-8930-0058
  • Professor
    University of Toronto Scarborough, Department of Computer and Mathematical Sciences
  • 416-978-4220 (Work)

BIO

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.

ACADEMIC POSITIONS

  • Associate Professor
    University of Toronto, Toronto, CanadaJul 2020 - present
  • Assistant Professor of Statistics
    University of Toronto, Toronto, CanadaJul 2014 - Jul 2020
  • Research Fellow of Emmanuel College
    University of Cambridge, Cambridge, United KingdomOct 2011 - Jul 2014
  • Newton Fellow
    University of Cambridge, Cambridge, United KingdomApr 2011 - Apr 2013

DEGREES

  • PhD, Electrical Engineering and Computer Science
    Massachusetts Institute of Technology, Cambridge, United States
  • MEng, Electrical Engineering and Computer Science
    Massachusetts Institute of Technology, Cambridge, United States
  • BSc, Electrical Engineering and Computer Science
    Massachusetts Institute of Technology, Cambridge, United States

AVAILABILITY

  • Industry Projects
  • Masters Research or PhD student supervision

TAGS