Luke Gregor is a data scientist and climate researcher with 12 years’ experience using machine learning and statistical methods to amplify sparse in-situ observations with satellite data. He holds a PhD in Oceanography and has led projects at ETH Zurich and the Swiss Data Science Center that extrapolate ship-based CO2 measurements using neural networks, gradient boosting, and the scientific Python stack. A prolific open-source contributor, he builds and maintains tools for processing oceanographic data (e.g., GliderTools, SeaFlux) that bridge research workflows and reproducible data lifecycles. He combines hands-on model development with mentoring and publication experience, and brings a practical focus on turning satellite and model datasets into robust, quality-controlled products. Based in Winterthur, Switzerland, he pairs deep domain expertise in air–sea carbon processes with strong software engineering instincts.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Oceanography, Joseph Arenow award for the best Ph.D. in the Faculty of Science in 2017, Doctor of Philosophy - PhD, Oceanography, Joseph Arenow award for the best Ph.D. in the Faculty of Science in 2017 at University of Cape Town
Contributions:7 releases, 53 commits, 22 pushes in 3 months
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