Gennady Pekhimenko
  • Assistant Professor, University of Toronto

    Faculty Member, Vector Institute

    Canada CIFAR Artificial Intelligence Chair

    Website | Google Scholar

Research Interests

  • Systems for Machine Learning
  • Machine Learning for Systems
  • Computer Architecture
  • Stream Processing


Gennady Pekhimenko is an Assistant Professor at the University of Toronto, CS department and (by courtesy) ECE department, where he is leading the EcoSystem (Efficient Computing Systems) group. Gennady is also a Faculty Member at Vector Institute and a CIFAR AI chair. Before joining Univ. of Toronto, he spent a year in 2017 at Microsoft Research in Redmond in the Systems Research group. He got his PhD from the Computer Science Department at Carnegie Mellon University in 2016. Gennady is a recipient of Amazon Machine Learning Research Award, Facebook Faculty Research Award, Connaught New Researcher Award, NVIDIA Graduate, Microsoft Research, Qualcomm Innovation, and NSERC CGS-D Fellowships. He was also recently inducted into the ISCA Hall of Fame and was a recipient of the MICRO Top Picks Award in 2021. His research interests are in the areas of systems, computer architecture, compilers, and applied machine learning.


  • ISCA Hall of Fame
  • MICRO Top Picks Award in 2021
  • Amazon Machine Learning Research Award
  • Facebook Faculty Research Award
  • Connaught New Researcher Award
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