Summary
Matthew Jones is a Data Science leader and hands-on researcher with a decade of experience translating multiscale simulation and ML research into low-latency, production fraud- and materials-focused systems. He has led and built AI teams and end-to-end pipelines at companies from startups to enterprises, launching real-time decisioning products that protect hundreds of millions in payments and generate multi-million dollar revenue streams. With a PhD in Engineering and strong academic credentials (12 publications, 148 citations), he brings rigorous scientific methods—proven in molecular simulation and kinetic Monte Carlo—to industrial AI challenges. As a founder he’s developing property-directed generative models that integrate provenance-tracked datasets into supply-chain-ready molecule discovery, and he emphasizes reproducibility, uncertainty-aware evaluation, and manufacturability. Known for shipping sub-250ms algorithms in production and for mentoring students and colleagues, he combines deep domain simulation expertise with practical ML delivery. Based in Boise, he blends academic rigor with product-driven engineering to move ideas from prototype to real-world impact.
10 years of coding experience
10 years of employment as a software developer
GCSEs, GCSEs at Frodsham School, a Science and Technology College
A-levels, Physics, Maths, Further Maths, Chemistry and General Studies, A-levels, Physics, Maths, Further Maths, Chemistry and General Studies at Helsby 6th Form College
MPhys, Theoretical and Mathematical Physics, MPhys, Theoretical and Mathematical Physics at Durham University