I am a first-year Master’s student in Computer Science at Princeton University, advised by Prof. Parastoo Abtahi. My current interests lie in simulation models of human behavior and their applications in interactive and intelligent systems. My research aims to emulate human-like thinking and movement, and can be used to predict human performance, ergonomics, and common errors.

Previously, I was working on algorithmic game theory and computational social choice with Prof. Christine Chung and Prof. Corinna Coupette. I was also passionate about civic tech and tech for social good, and I had the priviledge to work with NYC Mayor’s Office as a Coding it Forward Fellow.

Email | LinkedIn | Google Scholar

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Projects

A Case for Copeland: From Theory to Practice. Michelle Le, Chloe Nguyen, Leo Claney, Krishh Tipnis, Brian MacSweeney, Eric Huber, Christine Chung. In Proceedings of Frontiers of Algorithmics: 18th International Joint Conference, IJTCS-FAW 2024. DOI:10.1007/978-981-97-7752-5_19

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Teaching

As a teaching assistant, I’ve had the pleasure of assisting with the following courses:

• COS 126 Intro to Computer Science, Princeton (Spring 2026)
• COS 240 Reasoning about Computation, Princeton (Fall 2025)
• COM 340 Algorithms Design, Connecticut College (2023-2025)
• COM 212 Data Structures, Connecticut College (2022-2023)
• ECO 205 Intermediate Microeconomic Theory, Connecticut College (2022-2023)
• ECO 206 Intermediate Macroeconomic Theory, Connecticut College (2023-2024)