David Moxey is a Professor of Computational Engineering with 18 years' experience applying advanced numerical methods to challenging fluid dynamics problems at the intersection of engineering, applied mathematics, and high-performance scientific computing. He develops and implements high-order computational methods to deliver more efficient, accurate simulations for engineering applications, translating mathematical theory into practical code and scalable workflows. His academic trajectory spans Imperial College, the University of Exeter, and now King’s College London, reflecting a steady progression from research associate to professorship. Beyond academia he contributes to open-source tooling—improving the jekyll-scholar plugin to support multiple bibliographies and raw BibTeX filters—showing attention to reproducible research and scholarly communication. Known for bridging deep mathematical rigor with software-minded implementation, he often focuses on performance and usability trade-offs that aren’t obvious from publications alone. Based in the Greater Exeter area, he combines PhD-level mathematics with hands-on computational engineering to tackle real-world simulation challenges.
17 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of Warwick
Contributions:8 commits, 1 PR, 1 comment in 6 years 1 month
Contributions summary:David focused on enhancing the functionality of the `jekyll-scholar` plugin. They implemented support for multiple bibliography files, enabling more flexible data management. Further contributions included adding a configuration option to join strings for better output and incorporating raw BiBTeX filters. These changes involved modifications to core utility methods, default configurations, and the BibTeX converter, improving the plugin's usability and features.
Contributions:34 pushes, 15 branches in 4 years 6 months
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David Moxey - Professor Of Computational Engineering