Matthew O’Toole – ACM SIGGRAPH HISTORY ARCHIVES

Matthew O’Toole


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Most Recent Affiliation(s):


  • Carnegie Mellon University, Robotics Institute, Computer Science Department, Assistant Professor

Other / Past Affiliation(s):


  • Stanford University
  • University of Toronto

Location:


  • Pittsburgh, Pennsylvania, United States of America

Website:



Bio:

  • Excerpt from personal website October 2025

    I am an Assistant Professor with the Robotics Institute and Computer Science Department in the School of Computer Science at Carnegie Mellon University. My research interests span many topics across computer graphics and computer vision, but I’m particularly interested in computational imaging: a field that combines optics, electronics, and computational processing to capture or display new forms of visual information.

    Prior to joining CMU, I was a Banting Postdoctoral Fellow with Gordon Wetzstein‘s Computational Imaging group at Stanford University. Before that, I received my Ph.D. in Computer Science at the University of Toronto under the supervision of Kyros Kutulakos in 2016, along with an M.Sc. in 2009. I took a break from Toronto in 2011 to be a visiting student with the MIT Media Lab’s Camera Culture group led by Ramesh Raskar. I also completed an undergraduate degree in honours Computer Science and Mathematics from the University of British Columbia in 2007 under the supervision of Abhijeet Ghosh and Wolfgang Heidrich, and worked for various companies including NVIDIA, EA, and MDA.

    SIGGRAPH 2020

    Matthew O’Toole is an Assistant Professor with the Robotics Institute and Computer Science Department in 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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