Summary
Arnaud Fanthomme is a CTO and AI/ML research scientist with a decade of experience translating deep theoretical insights into applied systems, currently leading technology at Matricis.ai from Paris. He holds a PhD in Theoretical and Mathematical Physics and has applied that background to analyze recurrent neural networks and to advance deep reinforcement learning across academic and industry settings. His trajectory spans postdoctoral neuroscience research at NYU, hands-on internships at top labs like the University of Chicago and Inria, and teaching/coordinating intensive neurobiology data-science courses, reflecting strong cross-disciplinary communication skills. Known for bridging rigorous theory with practical tooling, he brings uncommon fluency in both mathematical analysis and product-focused engineering, with a knack for making complex models interpretable and deployable.
10 years of coding experience
Master's degree, Theoretical and Mathematical Physics, Master's degree, Theoretical and Mathematical Physics at Ecole normale supérieure
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at École normale supérieure Paris-Saclay