Louis Faury is an AI research engineer based in Paris with a PhD in machine learning and over a decade of experience spanning robotics, recommender systems, and defense. He combines rigorous mathematics with practical ML, having contributed to representation learning and reinforcement learning at Criteo before leading AI research at Helsing. His work covers optimal control, bandit algorithms, and multi-agent RL, reflecting a rare blend of theory-driven research and real-world systems engineering. Louis holds a Cycle Ingenieur Polytechnicien in Computational and Applied Mathematics from École Polytechnique, a MSc in Artificial Intelligence from EPFL, and a PhD from Télécom ParisTech, underscoring a strong multidisciplinary foundation. He frequently shares his insights on his personal page and blog, where he explores optimal control, RL, and statistics. Based in the Paris region, he operates at the intersection of academia and industry, translating complex models into robust, scalable solutions.
10 years of coding experience
6 years of employment as a software developer
Prépa, Mathématiques, Physique, Prépa, Mathématiques, Physique at Lycée Stanislas
Cycle Ingénieur Polytechnicien, Computational and Applied Mathematics, Cycle Ingénieur Polytechnicien, Computational and Applied Mathematics at École Polytechnique
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Télécom ParisTech
Master of Science (MSc), Artificial Intelligence, Master of Science (MSc), Artificial Intelligence at EPFL (École polytechnique fédérale de Lausanne)
Contributions:153 pushes, 1 branch in 1 year 9 months
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