Published multiple papers including 'Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives', 'NUTMEG: Separating Signal From Noise in Annotator Disagreement', and others, and received the Best Resource Paper award.
Research Experience
Extensive research experience in natural language processing, particularly in social reasoning and human-AI collaboration.
Background
I research how humans behave by observing the things we say, what we do, and who we are. My research combines natural language processing and social psychology to understand behavior in its natural social context. I collaborate with colleagues from the social sciences to improve our theories using data-driven insights and methodologies.
Miscellany
May recruit up to one student in the Fall 2026 cycle for CSE, interested only in students who work on Natural Language Processing and want to make core methodological contributions, particularly those in social reasoning or human-AI collaboration.