Gautam Kamath

Faculty Member

Assistant Professor, David R. Cheriton School of Computer Science, University of Waterloo

Canada CIFAR Artificial Intelligence Chair

Gautam Kamath is an Assistant Professor at the Cheriton School of Computer Science at the University of Waterloo. He is also a Faculty Member at the Vector Institute and a Canada CIFAR AI Chair. At Waterloo, he is further affiliated with Waterloo.AI and the Cybersecurity and Privacy Institute. His research interests are in reliable and trustworthy statistics and machine learning, particularly considerations such as privacy and robustness. He is an editor-in-chief of Transactions on Machine Learning Research (TMLR). He completed his B.S. at Cornell University, and his M.S. and Ph.D. at MIT. He also spent a year as a Microsoft Research Fellow at the Simons Institute for the Theory of Computing at UC Berkeley.

Research Interests

  • Privacy 
  • Robustness 
  • Statistics and Machine Learning


  • University of Waterloo Faculty of Math Golden Jubilee Research Excellence Award
  • Canada CIFAR AI Chair in 2023
  • NSERC Discovery Accelerator Supplement 
  • Cornell University Computer Science Prize for Academic Excellence


The role of adaptive optimizers for honest private hyperparameter selection

Shubhankar Mohapatra and Sajin Sasy and Xi He and Gautam Kamath and Om Thakkar