Harvard University

• September 2025 – December 2025

  Course Instructor, BST 260: Introduction to Data Science

  Harvard T.H. Chan School of Public Health · Boston, MA

  Graduate course on programming workflows, data science methods, and reproducible analysis.

• March 2025 and March 2026

  Data Science Mentor, AISC 610: Computationally-Enabled Medicine

  Harvard Medical School · Boston, MA

  Mentorship in data science, statistical computing, and predictive modeling for biomedical datasets.

University of British Columbia 2016 – 2023

Department of Statistics, Vancouver, BC.

Sessional Lecturer

• DSCI 100Introduction to Data Science
• STAT 302Introduction to Probability
• STAT 305Introduction to Statistical Inference
• STAT 321 / ELEC 321Stochastic Signals and Systems
• STAT 460 / 560Statistical Inference I

Teaching Assistant

• STAT 302Introduction to Probability
• STAT 305Introduction to Statistical Inference
• STAT 321 / ELEC 321Stochastic Signals and Systems
• STAT 406Methods for Statistical Learning
• STAT 443Time Series and Forecasting
• STAT 460 / 560Statistical Inference I
• STAT 547CTopics in Probability

University of Toronto 2015 – 2016

Department of Statistical Sciences, Toronto, ON.

Teaching Assistant

• STA 255H1Statistical Theory
• STA 302H1Methods of Data Analysis I
• STA 304H1Surveys, Sampling and Observational Data

Workshops

Instructed at Harvard Medical School, through the Core for Computational Biomedicine.

Single-cell and spatial omics

• Orchestrating Large-Scale Single-Cell Analysis with Bioconductor Course materials
• Imaging-based Spatial Transcriptomics Analysis Workshop materials
• Spatial Omics with Python Workshop materials

AI for biomedical data science

• AI-Powered Coding for Biomedical Data Science Workshop materials
• Agentic AI for Biomedical Data Science Workshop materials