Ludovic Denoyer
Scientific Director at UPMC - Sorbonne Universities
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolLudovic Denoyer is a Scientific Director and seasoned machine learning researcher with over a decade of experience bridging academic research and industrial R&D across Europe. Formerly a full professor at Sorbonne University and a staff research scientist at Criteo, he has led teams at Facebook, Ubisoft and startups, and co-runs a data-science master's program shaping the next generation of ML talent. His work spans machine, deep and reinforcement learning with a long-standing interest in methods that handle complex, incomplete or costly-to-acquire data—questions he explored from his PhD through his habilitation. Pragmatic and research-driven, he combines theoretical rigor with product-focused leadership, having transitioned repeatedly between academia and industry to deploy ML in real-world systems. Based in Paris, he’s now steering scientific strategy at imec while retaining active teaching and mentorship roles, an unusual blend that keeps him close to both foundational research and applied deployment.
10 years of coding experience
17 years of employment as a software developer
Master Compute, Master Compute at ENSIIE - École Nationale Supérieure d'Informatique pour l'Industrie et l'EntrepriseailleursDoctor Machine Learning, Doctor Machine Learning at Pierre and Marie Curie UniversityHabilitation à Dirigier les Recherches Artificial Intelligence, Habilitation à Dirigier les Recherches Artificial Intelligence at University Pierre et Marie Curie
French, English
Github Skills (52)
reinforcement-learning10
deep-reinforcement-learning10
computer-vision10
sequential10
optimization10
data-science9
parallel9
pytorch9
java9
scaling9
python9
datasets9
llm9
large-language-models9
machine-learning9
Programming languages (2)
Github contributions (5)
facebookresearch/rlstructures
Jan 2021 - Oct 2021
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
Contributions:39 commits, 3 PRs, 332 pushes in 9 months
reinforcement-learning-algorithmsstable-baselinesreinforcement-learningdeep-reinforcement-learninglearning-algorithms
ludc/video_games_and_deep_reinforcement_learning
Oct 2022 - Nov 2022
A blog about massive deployment of Reinforcement Learning in Video Games
Contributions:14 PRs, 73 pushes, 5 branches in 19 days
gamesdeploymentreinforcement-learningvideovideo-games
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