Jean Du Terrail
Founding AI Research Scientist at Living Models
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolJean Du Terrail is a founding AI research scientist with 11 years of experience translating deep learning research into applied products across defense, healthcare, and agriculture. He holds a PhD in computer vision (CIFRE with Safran/CNRS) and a Master's in applied mathematics from CentraleSupélec, blending rigorous theory with hands-on engineering. After a progression from research engineer roles into leadership at Owkin and a brief stint on Datadog’s LLM post-training team, he now builds foundation models for plants at Living Models. Jean is skilled at taking frontier research from prototype to production and has repeatedly led small teams through that transition. Based in Greater Paris, he brings uncommon domain breadth—object detection in defense to medical ML and now agricultural foundation models—coupled with a math-first approach to model design.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Intelligence artificielle, Doctor of Philosophy - PhD, Intelligence artificielle at Université de Caen NormandieMaster's degree, Mathématiques appliquées, Master's degree, Mathématiques appliquées at CentraleSupélec
French, English, German, Chinese
Github Skills (121)
python10
seq10
datasets10
leaderboard10
deep-learning10
transcriptomics10
fairness-ml10
extensible10
data-privacy10
silo10
optimization-methods10
ml10
differential-privacy10
neural-network10
rna-seq10
Programming languages (9)
Github contributions (5)
owkin/FLamby
Feb 2022 - Jan 2023
Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
Contributions:2 releases, 126 reviews, 371 commits in 10 months
fairness-mlpythonsilobeatleaderboard
jeandut/tensorflow-models
Jul 2016 - Feb 2017
Contributions:33 commits, 32 pushes, 1 branch in 7 months
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