Summary
Joseph Walker is a data scientist with a PhD in Data Intensive Science and High Energy Physics from Durham University and eight years of experience applying machine learning and computational modelling to real-world industrial problems. He has built and deployed tools analyzing large Monte Carlo simulations, agent-based models, and multidimensional time series using Python and C++, and has production-facing experience from internships at Nissan, EDF and UN Global Pulse. His work spans deep learning for image pipelines, exploratory time-series analytics with online monitoring, and social contact algorithms used to create digital twins for disease modelling in Cox’s Bazar—work that contributed to a public model release and a Royal Society Open Science paper. At ROSEN he continues to translate physics-grade quantitative rigor into industrial data solutions, while his background in teaching demonstrates an aptitude for communicating complex ideas to diverse audiences. Notably, he blends theoretical particle-physics research (including studies on the Higgs–charm Yukawa coupling) with practical software engineering, making him effective at bridging academic models and production systems.
8 years of coding experience
A-Levels: Mathematics (A*), Further Mathematics (A), Physics (A*), Chemistry (A*), A-Levels: Mathematics (A*), Further Mathematics (A), Physics (A*), Chemistry (A*) at Prior Pursglove College
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Durham University
GCSEs & Equivalents: 7A*, A and B Grades., GCSEs & Equivalents: 7A*, A and B Grades. at Hellesdon High School