Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Faculty of Science names 100 IDEAL Scholars in Class of 2024
Published:
Press release of IDEAL Scholar award recipients from class of 2024 where I am listed as one of the eight recipients of the top Medallion (Cobalt).
Co-op Cover from TRIUMF
Published:
Co-op Cover Instagram blog about my work and achievements at TRIUMF.
Co-op is the time to try things
Published:
Blog post by the University of Waterloo Co-operative Education team about my great co-op experiences.
Third annual Canadian Astroparticle Summer Student Talk Competition another success
Published:
Annoucement of me achieving 1st place at the Canadian Astroparticle Summer Student Talk Competition.
TRIUMF welcomes annual recipients of Richard E. Azuma Fellowship
Published:
Annoucement of myself and another student being awarded the Azuma Fellowship from TRIUMF.
Space Apps Challenge 2022: Congratulations to the winners!
Published:
I was the team lead for Glaxay Hunters which participated in the 2022 Space Apps Challenge and this is an annoucement of us winning 1st place overall in the advanced division with our notebook tool to analyze JWST data and generative AI method to make a JWST storybook.
Final Day 29er Canadian Championship
Published:
Press release congradulating winning 29er sailing teams including myself as crew of Top Female Team and 3rd Overall.
portfolio
portfolio_major
portfolio_minor
publications
Paper Title Number 1
Published in University of Waterloo Defence and Security Foresign Group Website Publications, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: erreira, A. (2023). "Implications of Explainable of Artificial Intelligence to the Ethics of Automated Warfare." University of Waterloo Defence and Security Foresign Group Website Publications. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
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.
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.
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.
Upcoming: 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.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.