Henry Kvinge
Affiliate Assistant Professor, Mathematics
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHenry Kvinge is an AI researcher and applied mathematician with a decade of experience translating deep theoretical insights into robust, interpretable AI systems. He holds a PhD in Mathematics and combines academic roles at the University of Washington with leadership of AI research at PNNL, focusing on making AI systems more understandable, secure, and reliable. His background spans algebraic and categorical representation theory to practical sensor and imaging algorithms—he developed algorithms for single-pixel LiDAR and hyperspectral cameras during a data science postdoc. Comfortable moving between rigorous theory and real-world deployment, he blends formal mathematical tools with hands-on experimentation and visualization to illuminate complex telemetry and model behavior. Based in Seattle, he brings an uncommon mix of pure-math depth, applied AI engineering, and field-tested problem solving (including summers spent commercial fishing) that shapes a pragmatic, systems-oriented research approach.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Mathematics and Biochemistry, 3.90, Bachelor’s Degree, Mathematics and Biochemistry, 3.90 at University of WashingtonPhD, Mathematics, 4.0, PhD, Mathematics, 4.0 at University of California, DavisProgramming languages (2)
Github contributions (5)
pnnl/ML4AlgComb
Mar 2024 - Feb 2025
ML Benchmarks in Algebraic Combinatorics
Contributions:346 pushes, 3 branches in 11 months
hkvinge/Secant-avoidance-projection-algorithm
Aug 2018 - Jan 2019
Contributions:31 commits, 34 pushes, 1 branch in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.