Anha Khan

I am a fully-funded, first-year Master of Science in Engineering (MSE) student at Princeton University.

Previously, I earned a Bachelor of Arts (AB) degree in Computer Science (CS) from Princeton University, graduating Summa Cum Laude. Upon graduation, I was inducted into the Sigma Xi Honors Society.

My research experience spans human computer interaction (HCI) and AI in CS education, qualitatively and quantitatively assessing the utility of such systems for students and educators within CS courses. As an undergraduate, I was fortunate to work in the Looking Glass Lab, led by Ruth Fong. My senior thesis was advised by professors Fong, Maryam Hedayati, and Victoria Dean. My current research interests include Machine Learning and Education, HCI, and Computer Graphics. I also enjoy web design.

Beyond research, I love teaching! Previously, I was an undergraduate course assistant (UCA) for the Princeton University Computer Science department for seven semesters. In Summer 2026, I helped revamp the programming assignments for Princeton's COS 324: Introduction to Machine Learning, alongside professors Fong, Dean, and Vikram Ramaswamy. I am currently a graduate teaching assistant (GTA) for COS 324.

Outside of academia, I enjoy hanging out with my two cats, Luna and Nerra.

Awards

First Place, ACM Undergraduate Student Research Competition Grand Finals

Association for Computing Machinery (ACM) | 2026

A preliminary version of my undergraduate thesis, Characterizing the Relationship between Generative AI, Student Behavior, and Learning Outcomes in Upper-Level CS Education: A Case Study in an Undergraduate Machine Learning Course, won the undergraduate category of the 2025-2026 ACM Student Research Competition (SRC). The ACM SRC is the world's largest university-level research contest in the field of computing.

Outstanding Computer Science Senior Thesis Prize

Princeton University Computer Science Department | 2026

My undergraduate thesis, Adventures with CubBot: Pedagogically Constrained LLM Use and Outcomes in an Undergraduate Machine Learning Course, was one of seven theses that won this departmental honor.

Publications

Characterizing the Relationship Between Generative AI, Student Behavior, and Learning Outcomes in Upper-Level CS Education: A Case Study in an Undergraduate Machine Learning Course

*Anha Khan*, Romina Mahinpei, Maryam Hedayati, Victoria Dean, Ruth Fong

SIGCSE TS 2026 | Paper

Teaching

COS 324: Introduction to Machine Learning

Princeton University

- GTA (Fall 2026)

- UCA (Spring 2025-Spring 2026)

COS 126: Computer Science: An Interdisciplinary Approach

Princeton University

- UCA (Spring 2023-Fall 2024)