Xin chào

I work at the interaction of natural language processing and human-computer interaction, focusing on how people interact with, interpret, and are shaped by large language models (LLMs) behavior. Broadly, my work examines LLM evaluation, human-AI interaction, and discourse analysis to ask how language technologies mediate reasoning, feedback, identity, and decision-making in real-world contexts.

I am especially interested combining empirical evaluation with interaction design to build and study language systems that are interpretable, socially grounded, and human-centered. Across research and teaching, I aim to bridge computational methods with social sciences to better align AI systems with human lived experiences.

Previously, I graduated Phi Beta Kappa honors with a B.S. in Computer Science, a B.A. in Econometrics, and a minor in Math from Providence College.