Summary
Justin Smith is a senior data scientist and AI developer with nine years of experience building clinical ML models and generative AI solutions for healthcare, currently leading predictive outcomes and compound AI architecture at WebPT. He blends rigorous academic training (PhD in Environmental and Natural Resource Sciences) with a decade of cross-sector research—spanning climate resilience, sustainable consumption, labor policy, and population health—to design risk models and multi-attribute decision systems that inform policy and value-based care. Justin has repeatedly translated complex theory into production: from hypergraph-based topological analysis and NLP-driven ontology mapping to Medicare MIPS-focused predictive models and clinical risk scoring. Comfortable leading teams and hands-on engineering, he bridges research design, advanced probabilistic modeling, and NLP to deliver measurable outcomes in healthcare and public-sector contexts. An atypical strength is his track record of moving experimental sensor and 3D imaging methods into practical tools early in his career, showing a knack for turning novel data sources into usable analytics.
9 years of coding experience
13 years of employment as a software developer
MA (Distinguished Graduate) International Relations, MA (Distinguished Graduate) International Relations at St. Mary's University
BA Liberal Arts - Information Technology and Social Change, BA Liberal Arts - Information Technology and Social Change at The Evergreen State College
PhD Environmental and Natural Resource Sciences, PhD Environmental and Natural Resource Sciences at Washington State University