PeopleofSuperintelligence

Researcher

David B. Lindell

Also known as David Lindell

David B. Lindell is a computer vision researcher whose work combines neural representations, optics and physics-based algorithms for visual computing. After earning degrees at Brigham Young University in 2015 and 2016, he completed an electrical engineering PhD on single-photon imaging at Stanford University in 2021 and joined the University of Toronto's computer science faculty in 2022. His research includes periodic implicit neural representations, BACON coordinate networks, and single-photon video that won ICCV's Marr Prize in 2023 and CVPR's Best Student Paper Award in 2025. He received an Ontario Early Researcher Award in 2025, and as of October 2026 he is an assistant professor at the University of Toronto, a Vector Institute faculty affiliate and an AXL faculty fellow.

Badges

Timeline

  1. 2015–2020

    Brigham Young and Stanford research

    He earns his bachelor's degree in 2015 and his master's degree in 2016 from Brigham Young University, then begins a PhD in Stanford University's Department of Electrical Engineering advised by Gordon Wetzstein. In 2018, he coauthors a Nature paper on confocal non-line-of-sight imaging based on the light cone transform with Matthew O'Toole and Wetzstein. In 2020, he coauthors Nature Communications work on confocal diffuse tomography and a NeurIPS oral paper on implicit neural representations with periodic activation functions.

  2. 2021

    Stanford PhD and SIGGRAPH award

    In January 2021, he completes his PhD at Stanford with a dissertation titled Computational Imaging with Single-Photon Detectors. In August 2021, he receives the 2021 ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention Award.

  3. 2021–2022

    Stanford postdoc to Toronto

    He works as a postdoctoral scholar in Stanford University's Computational Imaging Lab in 2021 and joins the University of Toronto's Department of Computer Science as an assistant professor in July 2022.

  4. 2022

    BACON coordinate networks

    At CVPR in 2022, he coauthors BACON, a band-limited coordinate network architecture with an analytical Fourier spectrum for multiscale scene representation.

  5. 2023

    The ICCV Marr Prize

    With Mian Wei, Sotiris Nousias, Rahul Gulve and Kiriakos N. Kutulakos, he coauthors Passive Ultra-Wideband Single-Photon Imaging in 2023, which captures one dynamic scene and re-renders video across more than nine orders of magnitude in time. The paper wins ICCV's Marr Prize in 2023.

  6. 2024

    Research awards and Flying with Photons

    He receives a Google Research Scholar Award in March 2024, followed by the Sony Faculty Innovation Award and the Sony Focused Research Award in May 2024. His coauthored Flying with Photons work in 2024 uses an AI algorithm to render videos of light in motion from any vantage point.

  7. 2025

    CVPR and Ontario awards

    With Anagh Malik, Benjamin Attal, Andrew Xie and Matthew O'Toole, he coauthors Neural Inverse Rendering from Propagating Light in 2025, winning CVPR's Best Student Paper Award. He receives Ontario's Early Researcher Award in July 2025.

  8. As of October 2026

    Toronto and Vector roles

    As of October 2026, he is an assistant professor in the University of Toronto's Department of Computer Science, a faculty affiliate at the Vector Institute and a faculty fellow at AXL. His computer-vision research combines optics, emerging sensor platforms, neural representations and physics-based algorithms for visual computing.

Career

  1. Since 2022University of TorontoAssistant Professor
  2. NowVector InstituteFaculty Affiliate
  3. NowAXLFaculty Fellow
  4. 2021–2022Stanford UniversityPostdoctoral Scholar

Education

  1. 2021Stanford UniversityPhD
  2. 2016Brigham Young UniversityMaster's degree
  3. 2015Brigham Young UniversityBachelor's degree

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes David B. Lindell. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Toronto. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Vector Institute. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  4. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes University of Toronto. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. David B. Lindell – ACM SIGGRAPH History Archives history.siggraph.org. Checked 22 October 2026.
  2. David B. Lindell davidlindell.com. Checked 22 October 2026.
  3. David Lindell - Vector Institute for Artificial Intelligence vectorinstitute.ai. Checked 22 October 2026.
  4. Visual computing researcher to join Department of Computer Science faculty in 2022 web.cs.toronto.edu. Checked 22 October 2026.
  5. BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation openaccess.thecvf.com. Checked 22 October 2026.
  6. Passive Ultra-Wideband Single-Photon Imaging dgp.toronto.edu. Checked 22 October 2026.
  7. U of T computational imaging researchers harness AI to 'fly' with light in motion web.cs.toronto.edu. Checked 22 October 2026.
  8. CVPR 2025 Best Papers and Best Demos cvpr.thecvf.com. Checked 22 October 2026.
  9. U of T CS faculty earn Ontario Early Researcher Awards for work in AI and imaging web.cs.toronto.edu. Checked 22 October 2026.