Summary
Jason Timm is a Research Assistant Professor, data scientist, and linguist with nine years of experience designing NLP pipelines and AI-driven tools for biomedical discovery, health informatics, and sensory science. At the University of New Mexico he leads text analytics in taste and nutrition, building local and cloud LLM workflows, RAG systems, and bespoke prompt engineering to turn unstructured text into actionable research insights. He combines rigorous academic training—a PhD in Linguistics focused on lexical innovation and semantic change—with hands-on engineering, having developed corpus collection, annotation, and visualization tools used across institutional research projects. Comfortable bridging theory and production, he’s equally at home modeling student performance or extracting signals from clinical text. Outside of work he bicycles, runs, and lives a vanlife-informed exploration of the American Southwest, a detail that shapes his pragmatic, field-minded approach to problem solving.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at The University of New Mexico
Bachelor of Science - BS, Bachelor of Science - BS at Cornell University