Summary
Vivien Cabannes is an AI research scientist with nine years of experience, currently at Meta AI (FAIR) in Paris following a postdoctoral stint there. Trained at ENS and Inria with a PhD, Vivien blends deep academic rigor with applied work across finance and industry—having consulted for a wealth management firm and interned as a quantitative analyst at Point72. Their background spans high-profile research environments (Inria, Duke, UCSD, CERN) and practical, impact-driven projects focused on socio-economic outcomes. Known for seeking synergies between foundational AI and real-world deployment, Vivien brings both theoretical depth and cross-domain curiosity to complex problems.
9 years of coding experience
3 years of employment as a software developer
PhD, PhD at ENS / Inria
École Normale Supérieure Paris-Saclay
Baccalauréat, Baccalauréat at Lycée Fénelon Sainte Marie
Ecole normale supérieure
CPGE, CPGE at Collège Stanislas
French, English