Tom Kimpson is a research-focused scientist with 11 years of experience blending theoretical astrophysics, computational modelling and data science across academia and industry. Currently a Research Fellow at the University of Melbourne, he completed a PhD in Theoretical Astrophysics (UCL) and held postdoctoral and visiting roles at Oxford and Perimeter Institute, while also applying ML and data science at companies such as Shopify and Revolut. His work spans relativistic astrophysics and climate modelling, demonstrating facility with numerical simulation, statistical inference and production-grade data pipelines. Notably, he moves comfortably between deep theoretical research and pragmatic engineering roles, bringing academic rigor to applied machine-learning problems. Based in Melbourne, he combines a strong publication and research background with hands-on experience delivering data-driven products in fast-paced commercial settings.
11 years of coding experience
3 years of employment as a software developer
Master’s Degree, Physics and Astronomy, 1st Class Honours, Master’s Degree, Physics and Astronomy, 1st Class Honours at Durham University
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