About

Adrien Gaidon is a highly accomplished Head of Machine Learning at the Toyota Research Institute (TRI) and Adjunct Lecturer at Stanford University in California, USA. With over 10 years of experience in the field, Adrien is a leading expert in scaling up Machine Learning for Embodied Intelligence, including Scene and Behavior Understanding, Simulation for Deep Learning, 3D Computer Vision, and Self-Supervised Learning. At TRI, Adrien is responsible for leading the Machine Learning Research team, applying his expertise to develop cutting-edge ML solutions for Toyota's future products, including world-scale autonomous robots that learn from experience. His research areas include Deep Learning, Computer Vision, and using Simulation for ML, with a focus on differentiable rendering and sim2real. Prior to joining TRI, Adrien worked as a Research Scientist at the Xerox Research Centre Europe (XRCE) in the Computer Vision group. His research interests lie in the fields of Computer Vision and Machine Learning, with a focus on automatic video understanding, behavior recognition, motion analysis, and object recognition. Adrien also holds an impressive academic record, with a Doctor of Philosophy (Ph.D.) in Mathematics and Computer Science from the Université Grenoble Alpes, a Master of Science (M.Sc.) in Artificial Intelligence from the Université Joseph Fourier (Grenoble I), and an Engineer's degree in Mathematics and Computer Science from the National School of Computer Science and Applied Mathematics of Grenoble. As an Adjunct Lecturer at Stanford, Adrien co-teaches Computer Vision Foundations and Applications (CS131), sharing his expertise with the next generation of ML and Computer Vision professionals. Adrien's tech stack includes ML, Research Scientist, Computer Vision, Supervised Learning, and Deep Learning. With over 10.61 years of relevant experience, Adrien is a highly skilled and accomplished professional in the field of Machine Learning and Computer Vision.