Selected Projects
This page contains work samples from my post-secondary studies and personal projects I have completed since graduation. These include research papers, coding competitions, and useful programming modules. To learn more about a specific project, click anywhere on its name to expand the project card.
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Overview
Estimates an individual's location in 25-dimensional space given their proximity to reference populations, with coordinates (Global25) derived from a PCA of 500K+ variants.
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Overview
Estimates the conditional average treatment effect (CATE) of low birth weight on infant mortality, using a sample of 1000+ twin pairs from the CDC's National Center for Health Statistics.
ReportTech Stack
Overview
Compares the accuracy, precision, and AUROC for 4 different algorithms (XGBoost, SVM, random forest, and histogram gradient boosting) to predict heart disease outcomes based on 14 predictors.
ReportTech Stack
Overview
A Streamlit app that implements a support vector machine to predict the prevalence of mental health issues in a given location based on world happiness metrics.
GitHub linkInteractive App
Tech Stack
Overview
A 2-month long coding competition that explored the capabilities of LLMs for playing chess.
GitHub linkTech Stack
An R package with use cases in math and science; initially created as an assignment for a course in big data computing, but I have expanded it over the past year.
GitHub linkTech Stack
Overview
An interactive lesson that teaches the fundamentals of topological data analysis, supplementing Dr. Isabel Darcy's course in algebraic toplogy (MATH 7450).
GitHub link




