Curriculum Vitae

Education, research, experience, and skills.

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Education

University of Toronto

2022 – 2026 (Expected)

B.Sc. Honours Mathematics & Statistics, Minor in Computer Science

Relevant coursework: Statistical Inference, Machine Learning, Real Analysis, Probability Theory, Stochastic Processes

Research

Research Assistant — Dept. of Astronomy & Astrophysics

2025

University of Toronto · Supervisor: Prof. Ting Li

Applied Gaussian Mixture Models with MCMC sampling to determine stellar membership probabilities for the Ursa Minor dwarf spheroidal galaxy.

Experience

Finance Modeling Intern

Summer 2024

Worked on financial valuation models, quantitative analysis, and data-driven decision support.

CSIA Level II Ski Instructor

2024 – Present

Teaching skiing at Blue Mountain Resort with focus on progressive skill development and safety.

Skills

Languages & Tools

Python, R, SQL, JavaScript/TypeScript, C/C++, LaTeX, Git

Libraries & Frameworks

PyTorch, scikit-learn, XGBoost, NumPy, Pandas, SciPy, emcee, Astropy

Methods

Bayesian Inference, MCMC, GMMs, Time Series Analysis, Deep Learning, Computer Vision

Other

AWS, Docker, Linux, Financial Modeling, Data Visualization