Summary
Adrien Gaidon is a machine learning researcher and operator with nine years of experience building ML foundations for embodied intelligence, robotics, and computer vision. He has led and grown ML teams at Toyota Research Institute, advised its CEO, and now splits time between founding a Physical AI startup, investing at Calibrate Ventures, and teaching CS at Stanford. His work spans research, production ML for safety-critical systems, and sim-to-real techniques like differentiable rendering and self-supervised learning. Comfortable at the intersection of academia, industry, and venture, he combines a PhD-level research pedigree with hands-on product delivery on public roads and in robotic settings. An understated signal of his impact is sustained external leadership—dozens of publications, invited talks, and collaborative programs with top labs—while actively shaping early-stage deep-tech companies from Palo Alto.
9 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mathematics and Computer Science, Doctor of Philosophy (Ph.D.) Mathematics and Computer Science at Université Grenoble Alpes
Engineer's degree Mathematics and Computer Science, Engineer's degree Mathematics and Computer Science at National School of Computer Science and Applied Mathematics of Grenoble
Master of Science (M.Sc.) Artificial Intelligence, Master of Science (M.Sc.) Artificial Intelligence at Université Joseph Fourier (Grenoble I)
English, French, German