Neil Ashton
WW Tech Lead for Computer-Aided Engineering (CAE) Amazon Web Services
I’m the WW Tech Leader for CAE at Amazon Web Services and also act as one of the main subject-matter experts for Computational Fluid Dynamics, High Performance Computing (HPC) and AI/ML for CFD across Amazon. I am also a Fellow of the Institution of Mechanical Engineers. Previous to these positions I worked in Formula 1 with the Lotus F1 team (now Renault F1) and I worked with Formula 1 Management and the FIA on the 2021 technical regulation changes and I was also a core part of the British Cycling 2020 Tokyo Olympics bike development program. I’m passionate about explaining science and engineering to the general public and also host a podcast which you can listen on Spotify or watch on YouTube.
news
Aug 22, 2024 | A new paper showing a large-scale high-fidelity DrivAer-based ML training datasets is now available on arxiv DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics |
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Aug 08, 2024 | Two new papers on arxiv, focusing on new ML training datasets.WindsorML: High-Fidelity Computational Fluid Dynamics Dataset for Automotive Aerodynamics and AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics |
Jul 28, 2024 | Two new papers published at AIAA Aviation 2024. Immersed Boundary Wall-Modelled Large Eddy Simulations for Automotive Aerodynamics and Assessing the HPC performance of CODA for the NASA Common Research Model. |
Jul 22, 2024 | Latest Neil Ashton podcast episode with Prof Karthik Duraisamy. You can listen on Spotify or watch on YouTube. |
Jul 09, 2024 | Latest Neil Ashton podcast episode with Prof Max Welling. You can listen on Spotify or watch on YouTube. |