Brian Bullins

I am a research assistant professor at the Toyota Technological Institute at Chicago (TTIC).

My research interests lie at the intersection of optimization and machine learning, both in theory and practice. In particular, I have worked on improving matrix estimation techniques for faster higher-order methods for convex and non-convex optimization.

I received my PhD in computer science from Princeton University in 2019, where I had the great fortune of being advised by Elad Hazan. Before that, I studied computer science and math at Duke University as a Benjamin N. Duke Scholar.

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