Matthew O’Toole


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Most Recent Affiliation(s):


  • Carnegie Mellon University, University of Toronto and Stanford University, Assistant Professor

Other Affiliation(s):


  • University of Toronto

Bio:

  • SIGGRAPH 2020

    Matthew O’Toole is an Assistant Professor with the School of Computer Science at Carnegie Mellon University. His research focuses on computational imaging, a topic that uses novel  combinations of computation, electronics, and optics to overcome limitations of conventional imaging systems. He was a Banting Postdoctoral Fellow with the Department of  Electrical Engineering at Stanford University. He completed his Ph.D. at the University of  Toronto, where his thesis received the ACM SIGGRAPH Outstanding Dissertation Honorable Mention award. His work received two runner-up best paper awards (CVPR 2014,  ICCV 2007) and two best demo awards (CVPR 2015, ICCP 2015).  

    SIGGRAPH 2014

    Matt is a Ph.D. student studying with Kyros Kutulakos at the University of Toronto. His research focuses on analyzing light transport of real-world  scenes using lights and cameras. He received a Combined Honors Computer Science and Mathematics degree at the University of British Columbia in 2007, and a M.Sc. from the University of Toronto in 2009. He interned at several companies including EA, NVIDIA, and SideFX, was a visiting student in the Camera Culture group at the MIT Media Lab in 2011, and was on the program committee for the IEEE CVPR 2012, 2013, and 2014 workshops on Computational Cameras and Displays.  


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