Biography
I am a researcher at Helsing. I work on multi-agent reinforcement learning.
Before that, I was a senior research scientist at Criteo, working on bandits and reinforcement learning. I also conducted applied research on representation learning, and worked with engineering teams around optimal control topics.
I received my PhD in October 2021. I was lucky to be supervised by Olivier Fercoq and Marc Abeille.
Check out my personal logs on RL, control theory and statistics.
- Reinforcement Learning
- Bandit Algorithms
- Control Theory
- Machine Learning
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PhD in Machine Learning, 2021
Télécom Paris
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MSc in Artificial Intelligence, 2016-2018
Ecole Polytechnique Fédérale de Lausanne (EPFL)
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MSc in Applied Mathematics, 2013-2018
Ecole Polytechnique
Publications
Experience
- Research on bandit algorithms and reinforcement learning. Focus on the design of new algorithms with strong theoretical guarantees.
- Internal consulting for engineering teams on production projects.
Development of a deep reinforcement learning approach for learning hyper-parameter free optimizers for ML tasks.
🌟 Received maximal mark from EPFL.
- Development of algorithms for the synchronization of mobile robot fleets in warehouses.
- Design, development and implementation of robust and embedded control algorithms for wheeled robots.
🌟 Rewarded as best internship for industrial use by the Prix de la Fondation de l’École Polytechnique.
Recent Talks
Code
