Edouard Leurent is a Senior Research Scientist at Google DeepMind with 14 years of experience at the intersection of generative models, large language models and reinforcement learning. He holds a doctoral background in mathematics and computer science from University of Lille and built his early career designing guidance, navigation and control algorithms for drones, including leadership of Parrot’s GN&C team and three filed patents. His PhD work on safe, risk-aware RL for autonomous driving emphasizes balancing safety and efficiency when interacting with unpredictable agents—a thread that connects his academic rigor to DeepMind’s applied research. Based in London, he blends deep theoretical expertise with hands‑on implementation experience across industry and research, and is known for translating control-theoretic insights into practical ML systems.
14 years of coding experience
4 years of employment as a software developer
Master's degree Science & executive engineering, Master's degree Science & executive engineering at Ecole nationale supérieure des Mines de Paris
Doctorat Mathématiques et informatique, Doctorat Mathématiques et informatique at University of Lille 1 Sciences and Technology
CPGE MPSI/MP* Mathematics Physics and Computer Science, CPGE MPSI/MP* Mathematics Physics and Computer Science at Lycée Clemenceau, Nantes
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Edouard Leurent - Senior Research Scientist at Google DeepMind