Raquel Urtasun is an associate professor in the Department of Computer Science at the University of Toronto and a Canada Research Chair in machine learning and computer vision. Raquel received her Ph.D. from the Ecole Polytechnique Federal de Lausanne in 2006 and did her postdoc at MIT and UC Berkeley. Her research interests include machine learning, computer vision, robotics, and remote sensing. Her recent work involves perception algorithms for self-driving cars, deep structured models, and exploring problems at the intersection of vision and language. Her lab was selected as an NVAIL lab. She is a recipient of an NVIDIA Pioneers of AI Award, an NSERC Steacie Award (given to the best six scientists in Canada), an Early Researcher Award, two Google Faculty Research Awards, an Amazon Faculty Research Award, a Connaught New Researcher Award, and a Best Paper Runner-up Prize awarded at CVPR. She is program chair of CVPR18 and an editor of IJCV.