This video is part of the Deep Learning Summit, Boston 2017 Event. If you would like to access all of the videos please click here.

Interview with Sanja Fidler, University of Toronto

This interview took place at the Deep Learning Summit, Boston 2017.

Monique interviewed Sanja to find out more about her and her thoughts on the following questions:
- Tell us a bit more about your work at the Vector Institute.
- What motivated you to start your work in deep learning Specifically with language and vision?
- Computer vision has been a rapidly advancing field of deep learning, what other sectors do you think computer vision will be most impactful?
- What advice would you give to women starting out in the field today?
- Looking to the future, what general applications of deep learning excites you the most?

Monique Brouillette, Science Reporter at Freelance

Sanja Fidler, Assistant Professor at University of Toronto

Sanja Fidler is an Assistant Professor at the Department of Computer Science, University of Toronto. Previously she was a Research Assistant Professor at TTI-Chicago, a philanthropically endowed academic institute located in the campus of the University of Chicago. She completed her PhD in computer science at the University of Ljubljana in 2010, and was a postdoctoral fellow at University of Toronto during 2011-2012. She has served in program committees of numerous international conferences, and has received three outstanding reviewer awards. Together with Rich Zemel and Raquel Urtasun, she received the NVIDIA Pioneer of AI award. Her main research interests are object detection, 3D scene understanding, and the intersection of language and vision.