Victor Liao

I am a senior at the University of Waterloo studying Pure Mathematics, Combinatorics & Optimization, and Computer Science.

My main research interests are at the intersection of optimization and math with applications to data science. I am broadly interested in non-convex optimization, analyzing optimization landscapes, and the application of mathematical theory from areas like non-smooth analysis, semialgebraic geometry, dynamical systems, statistics, and smooth manifolds to optimization.

I work with Nicolas Boumal at École Polytechnique Fédérale de Lausanne on optimization and Manopt. I also work with Yaoliang Yu at the University of Waterloo on optimization and machine learning.

Previously, I spent time collaborating with Amir-massoud Farahmand at the Vector Institute and Martha White at the University of Alberta on optimization and reinforcement learning.

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Last updated: October 13, 2022 Page template from here!