Dr. Matthew O Toole

Associate Professor

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Biography

Matthew O'Toole is an Associate Professor at the Robotics Institute of Carnegie Mellon University. His research interests encompass topics in computer graphics and computer vision, with a particular focus on computational imaging, a field that merges optics, electronics, and computational processing to innovate the capture and display of visual information. O'Toole earned a Ph.D. in Computer Science from the University of Toronto in 2016 under the supervision of Kyros Kutulakos, and he has previously held a Banting Postdoctoral Fellowship in Gordon Wetzstein's Computational Imaging group at Stanford University. His academic background also includes an M.Sc. from the University of Toronto in 2009, and he completed his undergraduate studies with honors in Computer Science and Mathematics at the University of British Columbia in 2007. O'Toole has held positions at notable companies including NVIDIA, Electronic Arts, and MDA. He has been recognized for his work with several paper awards at international conferences such as ICCV and CVPR, and has played a significant role in organizing workshops at these events. His current research is supported by the Banting Postdoctoral Fellowships program administered by the Government of Canada.

Research Interests

Experience

Associate Professor

2016-01-01 — Present

Robotics Institute, Carnegie Mellon University • Pittsburgh, PA

Faculty member focused on Robotics and Computational Imaging.

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.