Faculty Member, Vector Institute; Professor, Depts. of Computer Science and Mathematics, University of Toronto
Causality, differential privacy, fairness and transparency in machine learning, proof complexity
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)
CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.