Summary
Dan Villarreal is an Assistant Professor and data scientist with nine years of experience turning messy linguistic and behavioral data into actionable insights for both technical and non-technical audiences. Trained as a PhD linguist, he combines rigorous quantitative methods—mixed-effects modeling, multivariate analysis, and machine learning—with practical data engineering, having built tools to structure corpora, enforce quality control in ELAN, and parallelize heavy statistical workflows. His academic roles span fieldwork, experiment design, and teaching at multiple universities, and he has a track record of automating coding tasks (e.g., random forest classifiers) to accelerate sociolinguistic research. Based in Pittsburgh, he pairs deep methodological expertise with clear communication through publications and conference presentations, and he often mentors and trains teams to raise statistical literacy. An unexpected strength is his blend of acoustic manipulation programming and database structuring, enabling reproducible pipelines from raw audio to publishable analyses.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Linguistics, Doctor of Philosophy (PhD), Linguistics at University of California, Davis
Bachelor of Arts (B.A.), Linguistics, Bachelor of Arts (B.A.), Linguistics at William & Mary