Elie Kadoche is a research scientist specializing in deep and reinforcement learning with eight years of experience applying ML to real-world control problems, currently working on reinforcement learning for renewable energy at TotalEnergies. He completed a PhD focused on deep RL for wind farm flow control—publishing seven papers, filing five patents, and winning multiple prizes in "My Thesis in 180 Seconds"—and has led multi-agent RL projects for large offshore wind farms and space debris interception. Comfortable in both academic and industrial settings, he has taught RL courses at NYU and driven applied R&D from internships to full-time missions. His background spans AI systems, data science, and business intelligence, giving him a rare blend of theoretical rigor and practical deployment experience in energy and aerospace domains.
8 years of coding experience
1 year of employment as a software developer
Medicine studies (first year)., Medicine studies (first year). at Pierre and Marie Curie University
Bachelor of Science (Honours) in Business Intelligence., Bachelor of Science (Honours) in Business Intelligence. at Paris Dauphine University
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Institut Polytechnique de Paris
Master IASD, Artificial Intelligence Systems and Data Science., Master IASD, Artificial Intelligence Systems and Data Science. at PSL Research University
Baccalauréat S with honors., Baccalauréat S with honors. at Lycée Yabne
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Elie Kadoche - Research Scientist. at TotalEnergies