Summary
Naomi Shapiro is a computational linguist and psycholinguist with 12 years of experience applying experimental and computational methods to how humans and machines learn, represent, and process language. Currently a Visiting Research Assistant Professor of Linguistics, her recent work focuses on multilingual minds and multilingual machine models, building on postdoctoral research in bilingual language models. She blends rigorous experimental work—eye-tracking, longitudinal child language datasets, and socioeconomic analyses—with hands-on model development and tooling from prior research roles at Stanford and RAND. Naomi has a strong engineering bent dating to early backend and production engineering roles, and she has released research software such as FinnSyll for automatic Finnish syllabification. Based in Seattle, she combines deep academic training (PhD, MS) with practical experience teaching, mentoring, and developing reproducible computational resources that bridge theory and application.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computational Linguistics, Doctor of Philosophy - PhD Computational Linguistics at University of Washington
Master of Science Symbolic Systems, Master of Science Symbolic Systems at Stanford University
English, Hebrew, Japanese