Sébastien Bubeck

Sébastien Bubeck is a Senior Principal Research Manager in the Machine Learning Foundations group at Microsoft Research (MSR). He joined the Theory Group at MSR in 2014, after three years as an assistant professor at Princeton University. His works on convex optimization, online algorithms and adversarial robustness in machine learning received several best paper awards (STOC 2023 best paper, NeurIPS 2018 and 2021 best paper, ALT 2018 and 2023 best student paper in joint work with MSR interns, COLT 2016 best paper, and COLT 2009 best student paper). He is now focused on understanding how intelligence emerges in Large Language Models (LLMs), and how to use this understanding to improve LLMs’ intelligence, possibly towards building AGI.

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