Can Deep Learning Help us Create Better Point Spread Functions, Faster?
Published:
Presentation on my first end-to-end deep learning project. View my poster here.
Posts by Collection
portfolio
portfolio_major
portfolio_minor
publications
talks
Webb gAlaxy COunter (WACO): A Simple Notebook for JWST Data Analysis and Visualization
Published:
A presentation on my team’s award winning Space Apps submission. Slides available.
Deeply Learning the Position Reconstruction of Antihydrogen Annihilations in ALPHA-g
Published:
A PointNet-based method to better reconstruct antimatter annihilations in hopes of more accurate gravity measurements. You can view an earlier set of my slides here.
Applying Self-Supervised Representation Learning to UNIONS
Published:
Using an MAE to learn about astronomy from the Ultraviolet Near Infrared Optical Northern Survey. View my poster here.
SEDS-Canada Projects Highlight (co-presentor)
Published:
Along with the SEDS-Canada Projects Chair and the Canadian Analog Research Expedition (CAN-ARX) Project Manager, I presented in the SEDS-Canada projects showcase by providing an overview of the Canadian Stratospheric Balloon Experiment Design Challenge (CAN-SBX).
Self-Supervised Learning Illuminating UNIONS
Published:
Demonstrating team’s work so far using an MAE for various downstream tasks in astronomy using data from the Ultraviolet Near Infrared Optical Northern Survey and the Hyper Suprime-Cam Subaru Strategic Program.
Applying Self-Supervised Representation Learning to UNIONS
Published:
Presented a poster on my undergraduate thesis and a flash talk about some of my NTCO-related work.
Deeply Learning the Position Reconstruction of Antihydrogen Annihilations in ALPHA-g
Published:
A PointNet-based method to better reconstruct antimatter annihilations in hopes of more accurate gravity measurements. View abstract, slides, and more information here.
Illuminating Astronomy with Masked Image Modelling
Published:
Using SimMIM and MAE frameworks to apply self-supervised learning to the Ultraviolet Near Infrared Optical Northern Survey. Learn more about the conference workshop here.
AI Meets Antimatter: Unveiling Antihydrogen Annihilation Positions
Published:
Along with another student I worked with we presented some exciting new results in our effort to use AI to improve the event reconstruction method that can be used to better constrain the effect of gravity on antimatter. Access my poster and learn more about TRIUMF’s Science Week here.
AI Meets Antimatter: Unveiling Antihydrogen Annihilation Positions
Published:
I’ll be presenting the latest results from our TRIUMF project at the Machine Learning and the Physical Sciences (ML4PS) Workshop at the 38th conference on Neural Information Processing Systems (NeurIPS), see website here. Access my poster here.
Are Large Language Models Actually Getting Safer?
Published:
Presenting the results of my first working paper to the CIGI community at the Digital Policy Hub Fall 2024 Research Conference.
The Vulnerability of AI Governance Depending on Safety Evaluations
Published:
Presenting my CIGI work from Fall 2024 and getting to visit the Palais des Nations! Checkout the conference and my poster here.