Thomas Hannagan
Chercheur En Intelligence Artificielle at Stellantis
France
Summary
👤
Senior🎓
Top SchoolThomas Hannagan is an AI researcher and manager with a decade of experience bridging deep learning, cognitive neuroscience, and industrial R&D to bring robust generative-AI solutions into automotive contexts at Stellantis. Trained with dual PhDs in cognitive sciences from École normale supérieure and Pierre & Marie Curie, he has a long track record in computational neuroscience, language modeling, and research engineering across CNRS, CEA, Collège de France and international labs. He leads a research team that prioritizes distinguishing hype from practical performance—deploying models that work under real-world constraints rather than lab-only benchmarks. Comfortable moving between theory and production, he has steered projects from neural simulations of language to applied AI systems in industry. Based in France, he combines academic rigor with product-minded leadership, uniquely positioning him to translate cognitive insights into dependable AI for complex automotive systems.
10 years of coding experience
3 years of employment as a software developer
Doctorat, Sciences cognitives, Doctorat, Sciences cognitives at École normale supérieureMaster's degree, Computer sciences and intelligent systems, Master's degree, Computer sciences and intelligent systems at Université Paris Dauphine - PSLPhD, Cognitive sciences, PhD, Cognitive sciences at Pierre and Marie Curie UniversityMaster's degree, Applied mathematics: optimisation and modelisation in economics, Master's degree, Applied mathematics: optimisation and modelisation in economics at University of Paris I: Panthéon-Sorbonne
Github Skills (5)
surface5
topological-data-analysis5
neuroimaging5
python5
visualization3
Programming languages (1)
Github contributions (5)
THANNAGA/Origins-of-VWFA
Jul 2020 - Nov 2021
Contributions:16 commits, 10 pushes in 1 year 3 months
THANNAGA/Reset-Networks
Nov 2021 - Aug 2022
Contributions:84 pushes, 1 branch, 2 issues in 9 months
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