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Toniann Pitassi

Toniann Pitassi

Appointment

  • Canada CIFAR AI Chair

AI Institute

  • Vector Institute

About

Affiliations:
Faculty Member, Vector Institute; Professor, Depts. of Computer Science and Mathematics, University of Toronto

Expertise:
Causality, differential privacy, fairness and transparency in machine learning,
proof complexity

Major Contributions/Awards:
Founder of the field of proof complexity and pioneered the development of mathematical approaches to fairness in machine learning; ACM Fellow (2019); Institute for Advanced Study (Princeton) Long-term member (5 years, 2017-22); European Association of Theoretical Computer Science Dissertation Award to her students (2015, 2017); ACM Best Article (2015)