Undergraduate Research Assistant at the Center for Information Technology Policy under Professor Arvind Narayanan.

Undergraduate Research Assistant in Princeton's Natural Language Processing Lab under Professor Danqi Chen.

Undergraduate TA for COS 226: Algorithms and Data Structures (Spring 22), MAT 203: Advanced Vector Calculus (Fall 22), MAT 204: Advanced Linear Algebra with Applications (Spring 23), and COS484: Natural Language Processing (Spring 24).

Founded the Youth Passion Project, a non-profit organization that provides a platform for high school students to teach classes to elementary and middle school learners. Courses taught on subjects not commonly found in school, including Introduction to Origami, Basics of 3D Modeling, Intermediate Sanskrit, and more. Managed a team of over 200 instructors comprising 8 chapters throughout the world with over 2,000 student sign ups.

Undergraduate Research Assistant at MIT advised by Prof. Josh Tenenbaum and Prof. Jacob Andreas. Using large language models to improve planning algorithms for robotics.

Undergraduate Research Assistant in the Poggio Lab at the Center for Brains, Minds, and Machines at MIT. Analyzing the low-rank bias in the weight matrices of neural networks, both theoretically and emperically.

Developed applications to superimpose the ocean onto street level images to warn residents about the risks of flooding. Algorithms leverage machine learning for depth completion of sparse LIDAR data, Blender to render the ocean, and novel techniques to generate a composite image that contains both rendered ocean water and a real street level image. Wrote the algorithms and am the first author of a paper published in Weather and Climate Extremes Journal on this method. Presented at the AGU Fall 2020 conference.