Nathan Rasmussen is a computational linguist with a PhD from Ohio State and nine years of research and applied experience in NLP, corpus development, and cognitive modeling. He currently applies linguistic expertise at Glossika, having previously built annotated corpora and trained encoder-classifier models to predict human quantifier scope judgments. Nathan pairs rigorous academic methods—inter-annotator agreement metrics, bespoke annotation guidelines, and statistical evaluation—with practical engineering skills in data cleaning, format conversion, and tool development from his TBX and terminology work. He has a strong teaching background in formal semantics, logic, and cryptology, and has translated that pedagogy into accessible outreach and interactive presentations. Beyond language technology he pursues interdisciplinary interests in biology, medicine, programming, and game development, reflecting how he chose linguistics for its cross-disciplinary connectivity. Based in Gresham, Oregon, he blends deep theory with reproducible, production-minded workflows for language data and models.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at The Ohio State University
Bachelor of Arts - BA, Linguistics, Bachelor of Arts - BA, Linguistics at Brigham Young University
Contributions:135 commits, 72 pushes, 1 branch in 6 months
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