Riley VanMeter
PhD. Candidate in Romance Languages and Linguistics
The University of California, Berkeley
PhD. Candidate in Romance Languages and Linguistics
The University of California, Berkeley
PhD researcher in linguistics and applied data science at UC Berkeley, specializing in grammatical variation and change across Romance languages. My work sits at the intersection of language, sociology, cognitive science, and applied ML — I build statistical and machine learning models in Python and R (regression, classification, mixed-effects modeling) on large, real-world language datasets, and design experiments to test behavioral and linguistic hypotheses.
I hold an M.A. in Romance Linguistics and a B.A. in International Business and Spanish, and bring experience translating complex analytical findings for both academic and non-specialist audiences.
Morphosyntactic change and variation, grammaticalization, quantitative data science and experimental methodology, sociolinguistics, comparative Romance linguistics/grammars, historical (socio-)linguistics, usage-based grammar, corpus linguistics, languages in contact.
Analysis of Chicago Food Safety Inspection- Used ML models to predict passing/failing a safety inspection- Project for SOCIO 273: Computational Social Science
‘Quantifying User Perceptions of Grammatical Variants via A/B Testing’- Applied A/B tests and Qualtrics surveys to assess perceptions of alternative grammatical forms, using classification trees and regression models to identify key predictors of user judgments.
Poster presented at New Ways of Analyzing Variation (NWAV) 51
Published in Coyote Papers 25: Proceedings of ALC 16