About me

Hi! I am a second-year Computer Science PhD student at Duke University, supervised by Prof. Monica Agrawal. Previously, I received my Bachelor of Science in Computer Science and Applied and Computational Mathematics from University of Southern California, where I was fortunate to work with Prof. Yan Liu, Prof. Jesse Thomason, and Prof. Maja Matarić.

Research: My research focuses on large foundation models, particularly large language models (LLMs), and AI agents. I am broadly interested in making these systems reliable, interpretable, and robust by understanding how data shapes model behavior at training and inference time. This includes developing methods that use diverse data (text, time series, and multimodal inputs) to improve model capabilities, understand their limitations, and make them adaptable to changes during training and deployment. I am also interested in understanding agent behavior and human–agent interaction, including how agents collaborate with people and when they should seek human input. I am interested in applying these approaches to AI for science and AI for healthcare, particularly in clinical contexts, where generalizability and responsible deployment are critical.

Feel free to reach out to me if you'd like to discuss research or explore potential collaboration!