Francis Newson is a data analyst and technical lead with nine years' experience deploying data science platforms and leading hybrid intelligence initiatives across industry and research. He has a PhD in Elementary Particle Physics from the University of Birmingham and a strong background in large-scale data analysis, C++ and Python from his work on CERN experiments. At Capgemini Engineering and Tessella he combined software development, scientific analysis and cloud deployment to move research-grade analytics into production. Now at the National Energy System Operator he applies that blend of scientific rigor and engineering pragmatism to energy data challenges. Colleagues describe him as equally comfortable mentoring teams and diving into low-level code or infrastructure, a skillset honed teaching and presenting complex results to international audiences. Based in Lichfield, he brings a rare mix of particle-physics precision and practical cloud-native delivery to data-driven decision making.
9 years of coding experience
10 years of employment as a software developer
MPhys Physics, MPhys Physics at University of Oxford
Phd Elementary Particle Physics, Phd Elementary Particle Physics at University of Birmingham
QTLNetMiner is a platform for fast and systematic candidate gene discovery using data mining and network visualisation techniques
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