David Lindell
Assistant Professor at AXL: Human Potential, AI Superpowered
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolDavid Lindell is an Assistant Professor of Computer Science at the University of Toronto and a Faculty Affiliate at the Vector Institute and AXL, specializing in "physically based intelligent sensing" that blends physics, signal processing, and AI to push the limits of visual reconstruction. With a PhD and postdoc from Stanford and 11 years of research experience, his work spans time-of-flight sensors, imaging around corners, and next-generation LiDAR, earning top honors like the Marr Prize (ICCV Best Paper), CVPR Best Student Paper, and an ACM SIGGRAPH dissertation recognition. He has attracted competitive awards including the Ontario Early Researcher Award and Google Research Scholar support, reflecting both academic impact and translational promise. Known for combining deep theoretical insight with practical systems work—from sensor design to algorithm—he leads a research group that routinely advances what can be sensed and reconstructed from limited measurements.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at Brigham Young UniversityDoctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at Stanford University
English
Github Skills (41)
siggraph10
scene10
spectrogram9
torchvision8
quantile8
volume-rendering8
imaging8
rendering8
pytorch7
image-reconstruction7
wsi7
diffraction7
python7
microscopy7
computer-vision7
Programming languages (3)
Github contributions (5)
davelindell/config
Apr 2017 - Apr 2024
Contributions:30 pushes, 2 branches in 7 years 1 month
davelindell/davelindell.github.io
Oct 2016 - Feb 2025
Contributions:233 pushes, 2 branches in 8 years 6 months
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