Léa Berthomier is a data scientist with 10 years of experience applying deep learning and reinforcement learning to real-world problems, currently developing AI-driven solutions at Météo-France from Toulouse. Trained as an aerospace engineer at ISAE-SUPAERO with a strong mathematical and physics background, she translates rigorous research into production-ready models—drawing on internships focused on deep reinforcement learning for both aerospace research and game AI. She has hands-on leadership experience from running ISAE’s robotics club, managing projects, budgets and team performance for competitive robotics. Known for bridging research and engineering, she brings a pragmatic approach to complex modeling challenges in operational forecasting contexts.
10 years of coding experience
1 year of employment as a software developer
Baccalauréat Scientifique, Mention Très Bien, Baccalauréat Scientifique, Mention Très Bien at Lycée Pierre De Fermat
Diplôme d'ingénieur, Ingénierie aérospatiale, aéronautique et astronautique, Diplôme d'ingénieur, Ingénierie aérospatiale, aéronautique et astronautique at ISAE-SUPAERO
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