Rate My Professor David Moxey

Professor David Moxey is a Professor of Computational Engineering in the Department of Engineering at King’s College London, appointed in August 2023, following his role as Reader in Engineering from August 2021. He holds the UKAEA/RAEng Research Chair in next-generation numerical methods for high-fidelity fusion modelling, awarded in October 2024. Previously, Moxey served as Senior Lecturer in Engineering at the University of Exeter from February 2019 to August 2021 and Lecturer from March 2017 to February 2019. At Imperial College London, he was Research and Teaching Fellow from November 2015 to March 2017 and Research Associate from June 2011 to November 2015. He earned a PhD in Mathematics from the University of Warwick in June 2011, with a thesis on spatio-temporal dynamics in pipe flow supervised by Professor Dwight Barkley, and a first-class honours M.Math. in Mathematics from the same university in June 2007.

Moxey’s research focuses on computational engineering, high-order finite element and spectral/hp element methods, fluid dynamics, turbulence transition, high-performance computing, mesh generation, and applications in fusion energy, aeronautics, and industry. He leads the Nektar++ open-source spectral/hp element framework, used by over 60 research groups worldwide and featured in Computer Physics Communications’ 50th anniversary edition, alongside NekMesh for high-order mesh generation. Key publications include “Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods” (Computer Physics Communications, 2020), “Industry-relevant implicit large-eddy simulation of a high-performance road car via spectral/hp element methods” (SIAM Review, 2021), “NekMesh: An open-source high-order mesh generation framework” (Computer Physics Communications, 2024), “High-order curvilinear mesh generation from third-party meshes” (CAD Computer Aided Design, 2026), and “Discontinuous Galerkin simulation of sliding geometries using a point-to-point interpolation technique” (Journal of Computational Physics, 2025). His work advances exascale computing for digital twins in engineering, supported by EPSRC grants like REMODEL, ELEMENT, Exa-UQ, and UKAEA projects such as NEPTUNE. Moxey is a Fellow of the Higher Education Academy, chairs the Faculty Computing Committee at King’s College London, and collaborates with partners including the Met Office and Torin-Sifan Ltd.