About Me
Hi there! I am a Biostatistician and Sessional Instructor at UBC. Recently, I completed my Master’s in Statistics at UBC where I was supervised by Dr. Gabriela V. Cohen Freue. My Master’s thesis is titled Robust sparse covariance-regularized regression for high-dimensional data with Casewise and Cellwise outliers.
Teaching
- Sessional Lecturer, DSCI 100 (Introduction to Data Science) | S23, F23
- Head TA, STAT 251 (Elementary Statistics) | W23
- Grad TA, STAT 301 (Statistical Modeling for Data Science) | F22
- Grad TA, STAT 251 (Elementary Statistics) | F21, W22
Industry Experience
Before starting my Master’s, I took a role at Stripe as a software engineer. I worked on the Risk Tooling team, where I built tools that help risk analysts detect fraud. I worked in languages like Ruby and ReactJS to build data pipelines, backends, and user-friendly interfaces for processing and displaying sensitive financial data.
During my time at Waterloo, I also completed 6 internships in the technology sector with focuses ranging from application development to machine learning. My last internship was at Bloomberg (News AI), where I worked on NLP models for predicting news persistence based on textual and quantitative features. I was also an intern at Stripe, where I worked on object detection models and text extraction on the Identity team.
Education
- MSc in Statistics, University of British Columbia, 2021-2023
- BMath in Computer Science and Statistics, University of Waterloo, 2015-2020
For Fun
Outside of statistics, you might find me climbing, snowboarding, playing piano, or drawing. You can find some of my art here. I dabble in digital drawing but also enjoy colored pencils and ink media.
