Trevor Darrell

Trevor Darrell is a professor in the Computer Science Division of the EECS Department at UC Berkeley, where he co-founded and co-leads the Berkeley Artificial Intelligence Research (BAIR) lab and the Berkeley DeepDrive (BDD) industrial consortium. His research group develops algorithms for large-scale perceptual learning, including object and activity recognition, with applications spanning autonomous vehicles, robotics, and multimodal interaction. He is known for foundational contributions to computer vision and deep learning, including co-developing the Caffe deep-learning library and co-authoring widely cited works on fully convolutional networks, domain adaptation, and end-to-end visuomotor policy learning. He received his Ph.D. from MIT in 1996 and was previously on the MIT EECS faculty from 1999 to 2008 before joining UC Berkeley in 2008.