Antoine Dedieu
Senior Research Scientist at Google DeepMind
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolAntoine Dedieu is a senior research scientist at DeepMind with a decade of experience building neuroscience-inspired, object-centric generative models for vision and scalable inference methods. He previously led research at Vicarious (acquired by Alphabet), where his work combining probabilistic graphical models and cognitive science delivered significant production wins—improving robot vision speed and accuracy by ~40% and powering a box-detection pipeline used over a million times. Trained at École Polytechnique and MIT (M.S. in Operations Research, perfect GPA), Antoine blends rigorous theoretical work in optimization and statistics with practical engineering, publishing multiple top-conference papers and shipping real-world systems. He has a track record of translating interpretable statistical estimators and novel optimization algorithms into deployable ML components, and often draws on neuroscience principles to make models generalize from limited data.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Operations Research, Machine Learning - Optimization - Statistics. GPA 5.0/5.0, Master of Science (M.S.) Operations Research, Machine Learning - Optimization - Statistics. GPA 5.0/5.0 at Massachusetts Institute of TechnologyMaster of Science (M.Sc.), Probability - Statistics - Optimization, Master of Science (M.Sc.), Probability - Statistics - Optimization at École PolytechniqueBaccalauréat, Major in Science, European Grade, Baccalauréat, Major in Science, European Grade at Lycée Emilie de Rodat - ToulouseMathematics - Computer Science - Physics, Mathematics - Computer Science - Physics at Classe préparatoire Sainte Geneviève
French, English, Spanish, Chinese
Github Skills (7)
belief-propagation10
bayesian-inference9
python8
jax7
compiler4
language-model2
reinforcement-learning2
Programming languages (3)
Github contributions (5)
google-deepmind/PGMax
Aug 2022 - Mar 2023
Loopy belief propagation for factor graphs on discrete variables in JAX
Contributions:3 releases, 22 commits, 25 pushes in 6 months
belief-propagationjaxbayesian-inferencepython
antoine-dedieu/antoine-dedieu.github.io
Aug 2020 - Aug 2025
Contributions:43 pushes in 5 years
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