Gautam Kamath

Faculty Member

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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

Highlights

  • 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

Publications

Advancing differential privacy: Where we are now and future directions for real-world deployment

Rachel Cummings and Damien Desfontaines and David Evans and Roxana Geambasu and Yangsibo Huang and Matthew Jagielski and Peter Kairouz and Gautam Kamath and Sewoong Oh and Olga Ohrimenko and Nicolas Papernot and Ryan Rogers and Milan Shen and Shuang Song and Weijie Su and Andreas Terzis and Abhradeep Thakurta and Sergei Vassilvitskii and Yu-Xiang Wang and Li Xiong and Sergey Yekhanin and Da Yu and Huanyu Zhang and Wanrong Zhang

2024

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