Bio
I'm a PhD candidate with Kyros Kutulakos at The University of Toronto and The Dunlap Institute for Astronomy & Astrophysics. My research interests include computational photography, astronomical imaging, adaptive optics, and machine learning.
Previously: affiliate fellow at The Vector Institute for Artificial Intelligence; MSc with Wolfgang Heidrich at KAUST and BSc in Physics and Computer Science at The University of Manitoba.
I have also interned at Facebook Reality Labs (Formerly Oculus Research), TRIUMF (Vancouver, BC), and Taiyo Co., Ltd. (Wakayama, Japan).
Publications
-
Robust supervised learning for closed loop adaptive optics predictive control
SPIE Astronomical Telescopes + Instrumentation (Oral Presentation).
2024
- ESCAPE: Efficient Synthesis of Calibrations for Adaptive optics through Pseudo-synthetic and Empirical methods SPIE Astronomical Telescopes + Instrumentation (Oral Presentation). 2024
- pyRTC: An open-source Python solution for kHz real-time control of adaptive optics systems Under Review: Journal of Open Source Software (JOSS). 2024
- Adaptive hardware mediated sup-pixel super resolution SPIE Astronomical Telescopes + Instrumentation. 2022
- Closed loop predictive control of adaptive optics systems with convolutional neural networks Monthly Notices of The Royal Astronomical Society (MNRAS). 2021
- Simultaneous estimation of segmented telescope phasing errors and non-common path aberrations from adaptiveoptics corrected images Monthly Notices of The Royal Astronomical Society (MNRAS). 2021
- Wavefront reconstruction and prediction with convolutional neural networks SPIE Astronomical Telescopes + Instrumentation (Oral Presentation). 2018
- Consensus Convolutional Sparse Coding International Conference on Computer Vision (ICCV). 2017
- Sparse Representations of Hyperspectral Images Masters Thesis. 2016
- Material Classification Using Raw Time-of-Flight Measurements IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016
MAPS: the MMT Adaptive optics exoPlanet characterization System
I have been involved with the MAPS project to upgrade the MMT's legacy AO system since 2022. Here at the University of Toronto we have been tasked with designing, testing, and installing the infrared pyramid wavefront sensor as well as creating an adaptive optics (AO) calibration pipeline. Unlike most AO systems, MAPS has a convex adaptive secondary mirror making for a... fun and unique calibration process.
- Commissioning MAPS, the MMT AO exoPlanet characterization System SPIE Optical Engineering + Applications (Oral Presentation). 2024
- Tuning the MAPS adaptive secondary mirror: PID tuning, actuator power spectra and failure diagnosis SPIE Astronomical Telescopes + Instrumentation. 2024
- Commissioning Status of the MAPS Adaptive Optics System on the MMT Adaptive Optics for Extremely Large Telescopes 7th Edition. 2023
- On-Sky Adaptive Secondary Interaction Matrix Calibration on the MMT Adaptive Optics for Extremely Large Telescopes 7th Edition. 2023
- A near-infrared pyramid wavefront sesnsor for the MMT (Multi Meter Telescope) SPIE Astronomical Telescopes + Instrumentation. 2022