David leads the Google DeepMind Team in Toronto, and is Professor of Computer Science in the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough. He joined the University of Toronto in October, 2003. Prior to that he worked in the Digital Video Analysis and Perceptual Document Analysis Groups at the Palo Alto Research Center (PARC) for 4 years. Before that, he was on faculty at Queen’s University in Kingston. He joined the Google Brain Team in 2020.

David served as Associate Editor (2000-2003) and then as Associate Editor-in-Chief (2004-2008) for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). He was Program Co-Chair of IEEE CVPR (2003) and ECCV (2014).  He has served as a member of award committees and as Area Chair for numerous vision and learning conferences (CVPR, ECCV, ICCV, NIPS, ICML). At present he serves on the Advisory Board for IEEE TPAMI. He holds a CIFAR Ai Chair, and is a Faculty Member of the Vector Institute.

David’s research interests include aspects of computer vision, visual neuroscience, machine learning and computational biology. These include mathematical foundations and algorithms for visual motion analysis, tracking, human pose and motion estimation, models of stereopsis and motion perception, generative diffusion models for images and video,3D structure from motion and scene reconstruction,  large-scale similarity search, and 3D biomolecular structure determination for cryo-EM. His research awards include the 2010 Koenderink Prize, the Sloan Research Fellowship, best paper awards at ICCV, CVPR, UIST, BMVC, and NeurIPS, and Lifetime Achievement Awards from CS-CAN and CIPPRS.