PhD Student, Department of Sociology, University of Chicago
My research intersects computational social science, large language models (LLMs), social media, and social neuroscience. My recent work focuses on fine-tuning LLMs using social survey data, aiming to predict unmeasured public opinions. Additionally, I have applied quasi-experimental, causal inference methods to large-scale social media data to study how misinformation moderation could unintentionally reinforce echo chambers. My works have been published in Proceedings of the National Academy of Sciences (PNAS) and other venues.