Statistics · Economics · Data Science
Student · UBC
BSc Combined Major in Statistics & Economics with a minor in Data Science. I use a data-driven approach to explore relationships, answer questions, and provide meaningful recommendations.
A linguistics project aiming to see how accurately machine learning can identify emotions from utterances for bilingual people (Mandarin and English).
Capstone research project for ECON 490. Analyzing the effect of race/culture on working hours for participants on universal basic income using the data from the Mincome experiment.
Using causal inference techniques, analyzing the effect of the Canadian carbon tax on the price of food data across provinces. The project focuses on isolating the effect of the carbon tax from other variables, such as inflation or shifting energy prices.
Binary classification model trained in PyTorch to correctly identify images of diseased eyes. Explored CNN architectures and transfer learning on a medical imaging dataset.
Exploratory data analysis examining the relationship between greenhouse gas emissions, food production, and global consumption patterns.
Investigated how age, education, and work hours are associated with income. Trained a logistic regression model to predict income brackets — a STAT 301 group project.
Identified factors affecting sleep quality using linear modelling. Applied model diagnostics, variable selection, and interaction terms on a real-world dataset for STAT 306.
Used statistical inference to test whether default payments are more prevalent among those with lower education levels. Hypothesis testing and bootstrapped confidence intervals for STAT 201.
Classification model to predict resting ECG results and angiographic disease status. Built and evaluated multiple classifiers on a clinical cardiology dataset for DSCI 100.
A music library application built in Java for CPSC 210. Full GUI, persistent data storage, and clean object-oriented architecture. A personal project with open-ended scope.
Minor in Data Science. Coursework spans statistical methods, economic theory, econometrics, machine learning, computer science, and finance. Providing a strong foundation in quantitative analysis and its application to economic and financial decision-making.
Placed third proposing a creative solution to food insecurity. My multidisciplinary team of four presented an income-supplementation program to a panel of UBC professors.
Covered Time Value of Money, Technical Analysis, Economic Analysis, Quantitative Trading, and Risk Management in an asset management context.
Hi! I'm Thê. I'm a student at the University of British Columbia completing a Combined Major in Statistics & Economics graduating in 2026.
I'm passionate about using a data-driven approach to explore relationships, answer questions, and provide meaningful recommendations. I'm most experienced working with financial and economic data, but I'm always excited to learn about new domains!
My interests span financial economics, political economy, environmental economics, and quantitative methods. I enjoy problems at the intersection of rigorous statistical thinking and real-world impact. I love analyzing social issues and politics from a cultural lens.
Outside academics I'm involved in the Royal Canadian Sea Cadet program, math, statistics and economics tutoring, and various clubs. Feel free to reach out about projects, opportunities, or anything at the intersection of data and economics.
Full CV with coursework, references, and detailed experience.
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