About Me
A bit more about me.
My Current Work
My role as a 3D Modeling Researcher lies in the intersection of geometry processing and UX design. In general, the role involves processing 3D scan data to inform wearable product designs.
The research for 3D Human Modeling is both exploratory and descriptive in nature. The exploratory work often involves creating novel proof-of-concept geometric processing and modeling pipelines for 3D scans. The resulting scan data are statistically analyzed to help clarify observed UX issues. The descriptive work largely involves extracting statistics from 3D scan data, by way of mesh processing and computer vision techniques.
My Previous Work
Member Organizer
Between March and December 2023, I was a Member Organizer at CUPE Ontario as part of the union-organizing drive for graduate TAs and RAs at the University of Waterloo. I’m happy to report that graduate TA and RA workers overwhelmingly voted in favour of unionization in December 2023, and are now represented by CUPE Local 5524.
Junior Data Scientist
I worked as a junior data scientist at Praemo Inc. (now part of StreamSystems Inc.) during my co-op term at the University of Waterloo. Between May and August of 2022, I helped develop a production-level anomaly detection model for sudden mode shifts in Industrial Internet of Things (IIoT) data.
Audit Model Analyst
I also worked as an intern model audit analyst at Scotiabank Global Banking and Markets between May and August of 2021. There I helped review and implement pricing and margin models for quarterly internal audits.
My Education
Between September of 2021 and January of 2023, I earned a Master of Mathematics in Computation Mathematics at the University of Waterloo. Under the supervision of Prof. Chris Bauch and Prof. Chris Fletcher, I wrote a major research project about utilizing deep learning techniques to detect circulation tipping points in low-order models of the Atlantic Ocean (and the limitations thereof). You can view the project report here.
Before earning my degree at Waterloo, I also earned a Master in Financial Mathematics at McMaster University. There, I completed an industrial research project on the relationship between Value-at-Risk models with Gaussian market processes, and ISDA’s Standard Initial Margin Model (SIMM).
I have a Bachelors of Science with High Distinction at the University of Toronto, where I completed the Physics and Philosophy Specialist program. Under the supervision of Prof. Michael Miller, I completed a research project investigating causal status of Einstein-Podolsky-Rosen correlations1.
Outside of Work
In my free time, I’m interested in making algorithmic art2. I will be participating in Genuary 2026, and am hoping to share some work on my new blog. I’m also interested in sound design. I used to spend a lot of time tinkering with various plug-ins, DAWs, and some Max. I hope to make some sound design related posts in due time.
I also spend my time fermenting things (bread, mead, pickles, etc.), watching and playing basketball, and playing far too much 40 line Tetris.
Notes
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If you are interested in the relationship between contemporary frameworks of causal modeling and quantum mechanics, section 7 of this SEP article provides a good summary of the literature. ↩
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I strongly recommend checking out Creative Code Toronto if you are in the GTA and interested in algorithmic art. ↩