Canadian Computer Science graduate looking for Master's project opportunities.
Please read about my interests, skills & projects below, or review my resume or GitHub dashboard.
Python
Machine Learning
Data Analysis
Research Methods
Version Control
Data Modeling
Technical Writing
Statistics
Info Viz
Pipelines/ETL
Collaboration
JavaScript
R
Bash
SQL
ReactMy academic background is in computational biology, machine learning, and statistics.
I am particularly interested in interdisciplinary research (applications of computer science in other domains), and research that intersects software & statistics.
Some concepts that stand out to me:
Can a multi-stage diagnostic pipeline compete with full-modality models while reducing cost?
Develop and evaluate a multi-stage cost-aware diagnostic pipeline for preclinical Alzheimer's disease that maintains high sensitivity while balancing cost.
To what extent does semantic HTML improve machine interpretability and downstream usability of web content?
Conduct an empirical study of the effects on semantic web design for SEO, accessibility, performance, and machine interpretability.
To what extent do LLM-powered recruitment tools produce different candidate rankings when equivalent resumes are associated with different demographic characteristics?
Conduct a controlled experimental design in which synthetic resumes with equivalent qualifications but varying demographic indicators (e.g., names, gender cues, ethnic markers) are evaluated by multiple AI screening systems.
CSC482B Computational Biology Algorithms (A+)
CSC421 Intro to Artificial Intelligence (A+)
SENG474 Data Mining (A+)
CSC446 Operations Research: Linear Programming (A)
STAT353 Applied Regression Analysis (A-)
CSC445 Operations Research: Simulations (A)
STAT359 Data Analysis (B+)
CSC499 Honours Project & Seminar: Bioinformatics (A+)
A linear program solver that uses a matrix algebraic version of the Simplex Method, implemented in Python. The algorithm detects infeasibility and unboundedness, and solves problems that are initially unfeasible.
Python
A classification model that uses a machine learning to categorize an image of a shoe as either a sneaker or a sandal. The model uses a support vector machine (SVM) powered by a Gaussian (RBF) kernel, and is implemented in Python.
Python
Flask
sklearn
Reinforcement learning agents designed to play Minesweeper using machine learning. The agents were implemented in Python using Q-learning and deep Q-learning, and iterated through stages of hyperparameter tuning to optimize solve rate.
Python
NumPy
LaTeX
Keras
An investigation into the effects of ACE2 mutations with respect to its interactions with the SARS-CoV-2 spike protein. Implemented using Python, the project involved designing a feature selection algorithm to identify patterns in mutations that may affect viral susceptibility.
PythonLaTeX
Some thorough research into the role of machine learning in SARS-CoV-2 susceptibility classification in various host species. The research involved a series of categorical classification algorithms as well as computational biology algorithms. The implementation involved Python, R, and PyMOL.
PythonLaTeXR
PyMOL
A VueJS web app that summarizes the list of languages recognized by GitHub's Linguist.
Vue.js
TypeScript
Descriptive analysis & visualization of the Pokémon franchise, based on structured relational data.
JavaScript
Apache eChartsSQL
Analysis & visualization of Spotify streaming patterns, conducted using Python data analysis & visualization libraries.
PythonNumPy
A REST API that returns information about the book a Goodreads user is currently reading, in JSON or SVG. Powered by Express, Nunjucks, and Vercel.
JavaScript
Express
Nunjucks
A NodeJS package that empowers users to control Roku devices using TypeScript. The package is a TS-compatible wrapper for the Roku External Control Protocol.
TypeScript
Mocha
A browser extension that showcases stills from Studio Ghibli films as new tab backgrounds. The app is built with TypeScript and React, and a custom Python script used to scrape the Studio Ghibli media site.
TypeScriptReactPython
CSS