Adrien Gaidon, PhD

I am the head of Machine Learning at the Toyota Research Institute (TRI) and an Adjunct Professor at Stanford, CA, USA. My work focuses on Principle-centric ML (combining knowledge and data) for Embodied Intelligence (physical ML systems), spanning Scene and Behavior Understanding, Simulation for Deep Learning, 3D Computer Vision, and Self-Supervised Learning (cf. a short bio and my CV for more info). Outside of work, I spend time with my wife, daughter, and the mountains (I love camping, climbing, and snowboarding).


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Dr. Adrien Gaidon is the Director of Machine Learning at Toyota Research Institute (TRI) and an Adjunct Professor of computer science at Stanford University. Dr. Gaidon’s research focuses on discovering machine learning principles at the foundation of embodied intelligence. He has over 80 publications at top AI venues covering fundamental topics like Computer Vision and Learning for Robotics (cf. Google Scholar). His research has led to more than 80 patents and applications in areas including safe and autonomous driving. Dr. Gaidon received his Ph.D. from Microsoft Research - Inria Paris and has received multiple scientific awards at top conferences like CVPR and international AI competitions like PASCAL VOC and NeurIPS ProcGen.

You can find him at, on linkedin, and Twitter @adnothing.