Esther Lin

I am a Computer Science PhD student at the University of Toronto co-advised by Kyros Kutulakos and David Lindell in the Toronto Computational Imaging Group. My research interests include optics, computational imaging, computational photography, and sensing hardware. I am working on co-designing cameras and algorithms for scientific imaging. I have interned with Marc Levoy's NextCam computational photography group at Adobe (2021-2022) and Tesla’s sensors team (2020). Previously, I completed a MSc (2022) in Computer Science at the University of Toronto and a BASc (2020) in Engineering Physics at the University of British Columbia.

--> Esther Lin Esther Lin 林詠惠 --> --> --> I am a computational optics researcher developing methods for modelling, optimizing, and scaling optical systems. I am a 4th year Computer Science PhD student at the University of Toronto, co-advised by Kyros Kutulakos and David Lindell . My research is generously supported by the SPIE Optical Design and Engineering Scholarship and the NSERC CGS D Scholarship. My work focuses on optics, computational imaging, and sensing hardware, with an emphasis on co-designing imaging systems and algorithms for sub-diffraction imaging. --> I have interned with Marc

related reading

• Tristan's Site - Tristan Humethume.ca
• Kartik Chandracs.stanford.edu
• A differentiable wave optics model for end-to-end imaging system optimization | SPIE Photonics Westspie.org
• High-Quality Computational Imaging Through Simple Lensescs.ubc.ca
• Adaptive optics - Wikipediaen.wikipedia.org
• Designing a large field-of-view two-photon microscope using optical invariant analysis - PMCncbi.nlm.nih.gov
• Foundations of Computer Visionvisionbook.mit.edu
• Publicationsphdyang007.github.io
• jessie.redjessie.red
• Optical coherence tomography - Wikipediaen.wikipedia.org
• Non-line-of-sight imaging using phasor-field virtual wave optics | Naturenature.com
• Realising superoscillations: A review of mathematical tools and their application - IOPscienceiopscience.iop.org