Uber opens first research branch outside U.S., hires leading researcher
Raquel Urtasun, a leading scientist in the fields of machine perception and artificial intelligence, joined the Uber team and will lead the company’s Advanced Technologies Group branch, the first outside the U.S.
Associate professor at the University of Toronto, Raquel’s work at Uber will focus on developing the software that allows self-driving cars to “see”: recognising objects so they can navigate the world smoothly and safely.
“Raquel and her team will further strengthen our self-driving engineering efforts in San Francisco and Pittsburgh. And their work will complement the research underway at Uber AI Labs, led by Zoubin Ghahramani—a proud University of Toronto alum himself. Self-driving technology promises to make our roads safer, our environment healthier and our cities more liveable. While there’s still a lot of work to be done, we believe that the combination of our global ridesharing network with the cutting-edge software and hardware being built by our teams will make this vision a reality—and we couldn’t be more excited about what’s next,” Uber’s CEO Travis Kalanick said.
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Professor 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. Prior to this, she was an Assistant Professor at the Toyota Technological Institute at Chicago (TTIC), an academic computer science institute affiliated with the University of Chicago.
Urtasun is a world leading expert in machine perception for self-driving cars. Her research interests include machine learning, computer vision, robotics and remote sensing. Her lab was selected as an NVIDIA NVAIL lab. She is a recipient of an NSERC EWR Steacie Award, an NVIDIA Pioneers of AI Award, a Ministry of Education and Innovation Early Researcher Award, three Google Faculty Research Awards, an Amazon Faculty Research Award, a Connaught New Researcher Award and a Best Paper Runner up Prize awarded at the Conference on Computer Vision and Pattern Recognition (CVPR).
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