Teaching

I really enjoy teaching statistics and data science, particularly at the undergraduate level. I am also involved in research related to statistics and data science education, with a special focus on pedagogy in the age of big data and generative AI.

Teaching Experience

As a Graduate Teaching Assistant at Carnegie Mellon University:

• 36-402: Undergraduate Advanced Data Analysis (Spring 2026)

• 36-707: Regression Analysis, guest lectured on penalized regression (Fall 2025)

• Carnegie Mellon Sports Analytics Camp, co-taught four lectures to REU students (Summer 2025)

• 36-226: Introduction to Statistical Inference, Head TA (Spring 2025)

• 36-600: Overview of Statistical Learning and Modeling (Fall 2024)

As a Undergraduate Teaching Assistant at Pomona College:

• MATH158: Statistical Linear Models (Spring 2024)

• MATH058B: Introduction to Biostatistics (Spring 2023)

• ID001: First-Year Interdisciplinary Seminar: I Disagree (Fall 2023)

• BIOL040: Introductory Genetics with Lab (Fall 2022)

• MATH060: Linear Algebra (Fall 2021)

• 1-2-1 Summer Bridge Program (Summer 2021)

Education-Related Research

• Analyzing Statistics Students’ Writing Before and After the Emergence of Large Language Models. Joint work with Erin Franke and Alex Reinhart. Presented work at the Research Satellite poster session during the United States Conference on Teaching Statistics, July 2025. We are currently working on the paper!

• Teaching Data Cleaning and Wrangling with R’s data.table Package. Joint work with Erin Franke. Presented at Posters and Beyond during United States Conference on Teaching Statistics, July 2025.

• Philosophy within Data Science Ethics Courses. Joint work with Jo Hardin. Published in the Journal of Statistics and Data Science Education, 32(4), 2024.