Justin Smith
Sr. Data Scientist
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolJustin 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 UniversityBA Liberal Arts - Information Technology and Social Change, BA Liberal Arts - Information Technology and Social Change at The Evergreen State CollegePhD Environmental and Natural Resource Sciences, PhD Environmental and Natural Resource Sciences at Washington State University
Github Skills (7)
dynamics5
hypergraph5
artificial-intelligence2
geo1
python1
flask1
tagging1
Programming languages (2)
Github contributions (5)
keethealthoss/qcdr
Sep 2021 - Sep 2022
Contributions:1 release, 4 reviews, 47 commits in 1 year
dr-jgsmith/HyperGraph-Project
Feb 2018 - May 2019
HyperGraph is an experimental computing framework that implements a polyhedral dynamics approach to the study of ontological assemblages and artificial intelligence.
Contributions:3 commits, 27 pushes, 1 branch in 1 year 3 months
polyhedralapproachartificialdynamicscomputing
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