Aukosh Jagannath

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Canada Research Chair in
Mathematical Foundations of Data Science

Associate Professor
Department of Statistics and Actuarial Science
Department of Applied Mathematics (cross)
Cheriton School of Computer Science (cross)
University of Waterloo

Mathematics 3 (M3)
200 University Ave W
Waterloo, ON
Canada, N2L 3G1

Email:
a dot lastname at uwaterloo dot ca

Research

I am a probabilist working on problems coming from data science and physics. One part of my work concerns high-dimensional pheneomena in data science, including the dynamics of learning algorithms, statistical-computational tradeoffs, and the hardness of random optimization problems. The other relates to problems in mathematical physics, specifically spin glasses. These research directions might look different, but they're actually two sides of the same coin. My work on one side directly informs my work on the other. The tools and techniques I use and develop come from probability, statistics, analysis, and statistical physics.

This research is supported by the Natural Sciences and Engineering Council of Canada (NSERC), the Canada Research Chairs program, the Canadian Foundation for Innovation, and the Ontario Research Fund

Cette recherche est financée par le Conseil de recherches en sciences naturelles et en génie du Canada (CRSNG), le programme des chaires de recherches du Canada, la Foundation Canadienne pour l'Innovation, et le gouvernement de l'Ontario