Summary
Grace Lawley is a computer scientist and data scientist with eight years of experience at the intersection of statistics, computational linguistics, and NLP. Her PhD research at OHSU developed statistical and computational methods to quantify discourse features—like topic maintenance, filler usage, and backchanneling—in speech from children with ASD, translating linguistic theory into measurable analytics. She mentors working professionals in R and Python at Posit, helping practitioners bridge research-grade methods and applied data science workflows. Comfortable with both experimentation and production-ready code, she blends rigorous statistical modeling with practical NLP pipelines. Based in Portland, she brings deep domain expertise in language variation and a knack for turning nuanced conversational patterns into actionable insights.
8 years of coding experience
Oregon Health and Science University