Nicolas Flammarion is a tenure-track assistant professor in computer science at EPFL. Before that, he was a postdoctoral fellow at UC Berkeley, hosted by Michael I. Jordan. He received his PhD in 2017 from Ecole Normale Superieure in Paris, where he was advised by Alexandre d'Aspremont and Francis Bach. In 2018, he received the prize of the Fondation Mathématique Jacques Hadamard for the best PhD thesis in the field of optimization, in 2021, he was one of the recipients of the NeurIPS Outstanding Paper Award, and in 2024, he received a Trust & Safety Google Research Award. His research focuses on learning problems at the intersection of machine learning, statistics, and optimization. He aims to develop algorithmic and theoretical tools that improve our understanding of machine learning and increase its robustness and usability.
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