Luke Roantree is a Senior Data Scientist with nine years' experience blending theoretical physics and software engineering, currently delivering data-driven insights at the Office for National Statistics. He holds a PhD in Theoretical & Mathematical Physics and an MSci in Mathematics from Queen's University Belfast, where he developed and optimised large-scale Fortran HPC codes (RMT) using hybrid MPI/OpenMP and built Python tooling for analysis and visualization. Luke brings strong production engineering practices—CI, unit testing, Docker, Git, Linux—and a track record of turning complex numerical models into maintainable, high-performance pipelines. His background spans research, applied mathematics teaching, freelance embedded and desktop software projects, and DevOps internships, giving him rare end-to-end fluency from low-level performance tuning to data productisation. Notably, he has experience publishing extensions to attosecond spectroscopy techniques (RABBITT) while shipping software utilities for continuous-variable quantum state analysis. He combines rigorous scientific thinking with pragmatic engineering to solve hard computational problems at scale.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics at Queen's University Belfast
Contributions:6 releases, 12 pushes, 1 branch in 1 year 10 months
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Luke Roantree - Senior Data Scientist (Grade 7 - TP)