Summary
Thomas Jubb is a freelance data scientist and AI lead with eight years of experience applying physics-grade quantitative methods to real-world imaging and detection problems. After earning a PhD in theoretical and mathematical physics from Durham, he transitioned from academic research in particle physics and cosmology to industry R&D, developing machine learning and image-recognition algorithms that led to patentable security screening tech. He has since led AI teams and principal-scientist efforts across medical imaging and simulation, bringing 3D modelling and deep learning into production at companies such as IBEX Innovations and CurveBeam AI. Equally comfortable in technical leadership and hands-on engineering, he now blends full-stack and data-science roles as a consultant for Dunelm Analytics. A less obvious strength is his history of self-taught production-grade 3D visualisation work (used in publicity for the Euclid satellite), which underscores a talent for turning complex science into compelling, deployable systems. Based in the north of England, he combines academic rigor with product-focused delivery across healthcare and security domains.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics at Durham University
A-Levels, Maths, Physics, Further Maths, Biology, Chemistry, A-Levels, Maths, Physics, Further Maths, Biology, Chemistry at Arnewood School