Teaching

CS 671: Machine Learning Theory & Algorithm (Graduate)

Undergraduate Teaching Assistant, Duke University, Department of Computer Science, 2024

Plan and lead weekly 50-student discussions of exemplary questions to supplement course material.
Write and grade homework problems (theory and coding) to assess student understanding on machine learning topics including k-means clustering, boosting, and random forest.
Host office hours open to 200+ students, assisting with questions from homework and lectures, and answer student questions on Ed discussion forum.
Meeting weekly with professor and other teaching assistants to discuss course administration issues including verifying homework problems and progress made during discussion sections.

Undergraduate Teaching Assistant, Duke University, Department of Mathematics, 2025

Evaluated and provided detailed feedback on weekly Real Analysis homework assignments for a graduate-level course with 20+ students, ensuring clarity, rigor, and consistency.