Théo Cachet

AI Scientist at Mistral AI

Grenoble, Auvergne-Rhône-Alpes, France
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Reinforcement Leaning, Doctor of Philosophy - PhD, Reinforcement Leaning at Sorbonne Université
bookMSc Artificial intelligence, MSc Artificial intelligence at Imperial College London
bookBachelor's degree, Mathematics and Physics, Bachelor's degree, Mathematics and Physics at CPP- La prépa des INP
bookDiplôme d'ingénieur, Mathematics and Computer Science, Diplôme d'ingénieur, Mathematics and Computer Science at Grenoble INP - Ensimag
languagesEnglish, Spanish, French
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Github Skills (7)

python7
data-science7
pytorch7
machine-learning7
deep-learning6
tensorflow6
jax5

Programming languages (1)

Python

Github contributions (5)

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cachett/DCGANandCAE

Feb 2019 - Mar 2019

Contributions:13 commits, 16 pushes, 1 branch in 1 day
cachett/ML-Classification

Jan 2018 - Feb 2019

Contributions:4 pushes, 1 branch in 1 year 1 month
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