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Chris Cantwell is a Reader in Computational Engineering at Imperial College London, UK. He received his MMath in Mathematics in 2005 and an MSc in Scientific Computing in 2006 from the University of Warwick, followed by a PhD in Scientific Computing in 2009. His research focuses on developing scalable numerical approaches and high-performance software tools to efficiently model and understand complex physical processes. He emphasizes the efficient implementation and application of spectral/hp element methods for high-fidelity numerical simulations and explores the integration of numerical modeling with statistical methods such as machine learning and graph neural networks. As a strong advocate for open-source software, he leads the Nektar++ project, a spectral/hp element framework that facilitates research in various application areas, including aerodynamics, turbomachinery, and nuclear fusion. In the biomedical domain, Cantwell is involved with the Imperial College Centre for Cardiac Engineering, leveraging numerical modeling and signal processing for clinical data and medical imaging, as well as basic laboratory science through the ElectroCardioMaths programme.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.