Summary
Théo Cachet is an AI Scientist with eight years of hands-on experience building and researching reinforcement learning and language-conditioned control for robotics. After an MSc in AI at Imperial College London and engineering training at Grenoble INP, he completed a PhD focused on RL for humanoid robots, achieving state-of-the-art zero-shot generalization to novel instructions. His trajectory at NAVER LABS Europe progressed from research engineer to PhD student and research scientist, and he now advances physical AI at Mistral AI. Théo blends deep RL, imitation learning, and applied research to push manipulation and navigation capabilities toward deployment. Outside core research he has practical product experience—building trading strategies and mobile apps—and even taught diving and skiing, reflecting a hands-on, adventurous approach to problem solving. Based in Grenoble, he combines strong mathematical foundations with a demonstrated ability to translate cutting-edge research into real-world systems.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Reinforcement Leaning, Doctor of Philosophy - PhD, Reinforcement Leaning at Sorbonne Université
MSc Artificial intelligence, MSc Artificial intelligence at Imperial College London
Bachelor's degree, Mathematics and Physics, Bachelor's degree, Mathematics and Physics at CPP- La prépa des INP
Diplôme d'ingénieur, Mathematics and Computer Science, Diplôme d'ingénieur, Mathematics and Computer Science at Grenoble INP - Ensimag
English, Spanish, French