Thomas Ogden is a Senior Data Scientist with 13 years of experience applying rigorous, physics-rooted thinking to real-world data problems across consumer analytics and music streaming. With a PhD in Theoretical Physics and advanced training in computational physics, he has progressed from data scientist to senior research roles at dunnhumby and now leads data science efforts at Spotify. He combines deep probabilistic modelling and experimental design expertise with product-facing impact, translating complex signals into actionable recommendations for large-scale platforms. Based in Stevenage, UK, he favors elegant, simple solutions—evident in his GitHub ethos to "think deeply of simple things"—and brings a researcher’s curiosity to production challenges. Colleagues value his ability to bridge rigorous research and practical engineering to deliver measurable business outcomes.
13 years of coding experience
6 years of employment as a software developer
PhD Theoretical Physics, PhD Theoretical Physics at Durham University
BSc Mathematics & Physics, BSc Mathematics & Physics at University of Warwick
Msc Computational Physics, Msc Computational Physics at Stockholm University
A Python package for solving the coupled Maxwell-Bloch equations describing the nonlinear propagation of near-resonant light through thermal quantised systems such as atomic vapours.
Contributions:7 releases, 372 commits, 159 PRs in 5 years 1 month
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