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.
11 years of coding experience
Preparatory Classes - Degree, Preparatory Classes - Degree at Louis Le Grand, Paris
Master's degree, Master's degree at Stanford University
Master's degree, Master's degree at Ecole Normal Supérieure
Spanish, English, French