Summary
Alexandre Robicquet is an AI research scientist and entrepreneur with a decade of experience building next-generation recommendation engines and applied machine learning systems. He co-founded Crossing Minds with Sebastian Thrun collaborators, scaling perceptive recommendation technology from research to production, and later transitioned into research and product roles at OpenAI focusing on post-training and agent systems. Trained at École Normale Supérieure and Stanford in mathematics and AI, he combines deep theoretical grounding with hands-on experience in deep learning for robotics, drones, and medical imaging. Based in San Francisco, he also leads Maison Villevert North America and brings a founder’s operational instincts to board and council roles, blending academic rigor with commercial execution. An uncommon thread through his career is translating cutting-edge research into practical recommendation and agent-driven products that measurably boost discovery and engagement.
10 years of coding experience
11 years of employment as a software developer
Master's degree Applied and Fondamental Mathematics, Master's degree Applied and Fondamental Mathematics at Ecole normale supérieure
Preparatory Classes - Degree Physics-Chemistry, Preparatory Classes - Degree Physics-Chemistry at Louis Le Grand, Paris
Master's degree Computer Science - Artificial Intelligence, Master's degree Computer Science - Artificial Intelligence at Stanford University
French, English, Spanish