Research Scientist Google DeepMind Paris, France
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I am a research scientist at Google DeepMind, in Paris. I work on core Machine Learning, with interests in Statistics and Optimization to tackle these problems.I did my Ph.D. at Princeton University and I am an alumni of Ecole Polytechnique. [Google Scholar profile] Editorial activity Action editor for the Journal of Machine Learning Research (JMLR) Program committee / area chair for: NeurIPS 2021, 2022, 2023 ICML 2020, 2023, 2024 ICLR 2021, 2022, 2023, 2024 AISTATS 2020, 2021, 2022, 2023, 2024 ALT 2021, 2022, 2023, 2024 COLT 2018, 2020, 2021, 2022, 2023, 2024 Associate editor of Journal of the Royal Statistical Society Series B (2018-21) Associate editor of ESAIM Probability & Statistics (2017-21) News I spoke at the Differentiable Almost Everything workshop, at ICML 2023, about perturbed optimizers [slides] With Vianney Perchet, we were local chairs of ALT 2022, in Paris. I co-organized a workshop at the Alan Turing Institute on Statistics and Computation on January 13th and 14th, 2020, with a great lineup of speakers.