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.

Instructor

As an Instructor at Carnegie Mellon University:

  • Summer Undergraduate Research Experience in Statistics: Sports Analytics Camp (Summer 2026)

Website and showcase

This program is an eight-week summer initiative that provides students with hands-on training on statistical and data science methodology. It culminates in a final capstone project, where students work in small groups with external partners to address real-world research questions in sports analytics.

Teaching Assistant

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)

  • Summer Undergraduate Research Experience in Statistics: 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)

Statistics Education Research