I study how word meanings change over time, especially when socially important concepts move across scientific writing, news media, and general language. My work combines natural language processing, social psychology, computational social science, and corpus linguistics to examine how concepts become broader, more emotionally intense, more evaluatively charged, or more culturally salient.
My research sits between basic science and substantive application: I develop or extend computational methods for measuring semantic change, then apply them to language about mental health, harm, identity, stigma, and social evaluation.
I develop frameworks, benchmarks, and pipelines for making lexical semantic change more interpretable and evaluable.
I study how psychological and mental health concepts change in meaning, salience, severity, and use across historical corpora.
I use NLP and computational social science methods to study dehumanization, stigma, identity language, and other socially contested forms of discourse.