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Matthew O'Toole is an Associate Professor in the School of Computer Science at Carnegie Mellon University, where he is affiliated with the Robotics Institute. His research interests lie at the intersection of computer graphics and computer vision, with a particular focus on computational imaging. This field merges optics, electronics, and computational processing to capture and display new forms of visual information. Prior to joining CMU, he was a Banting Postdoctoral Fellow in Gordon Wetzstein’s Computational Imaging group at Stanford University. He obtained his Ph.D. in Computer Science from the University of Toronto in 2016, where he studied under Kyros Kutulakos, and he also holds an M.Sc. from 2009. His academic journey includes a visit to the MIT Media Lab’s Camera Culture group in 2011. He completed his undergraduate degree in Honours Computer Science and Mathematics at the University of British Columbia in 2007, where he was mentored by Abhijeet Ghosh and Wolfgang Heidrich. O'Toole has worked with prominent companies such as NVIDIA, Electronic Arts, and MDA. His contributions have been recognized with several awards, including runner-up paper awards at ICCV 2007 and CVPR 2014, and demo awards at CVPR 2015 and ICCP 2015. He was also a runner-up for the dissertation award at SIGGRAPH 2017 and served as co-organizer for CVPR workshops on Computational Cameras and Displays in 2016 and 2017. O'Toole has shared his expertise by teaching a course on this subject at SIGGRAPH 2014 and continues to explore innovative ways to analyze and represent visual information.
Carnegie Mellon University • Pittsburgh, PA
Associate Professor in the Robotics Institute of the School of Computer Science.
Stanford University • Stanford, CA
Conducted research in Computational Imaging group.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.