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 and High Performance Computing (HPC) across Amazon and lead the Amazon-wide CFD working group. 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 will be soon launching a podcast.


Mar 18, 2024 ICLR workshop AI4DifferentialEquations in Science now has it’s draft schedule ready

selected publications

  1. 2024ml.png
    Machine Learning for Road Vehicle Aerodynamics
    Vidyasagar Ananthan , Neil Ashton , Nate Chadwick , and 9 more authors
    In SAE World Congress , 2024
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    Summary of the 4th High-Lift Prediction Workshop Hybrid RANS/LES Technology Focus Group
    Neil Ashton , Paul Batten , Andrew Cary , and 1 more author
    Journal of Aircraft, Aug 2023
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    Towards a Standardized Assessment of Automotive Aerodynamic CFD Prediction Capability - AutoCFD 2: Ford DrivAer Test Case Summary
    Burkhard Hupertz , Neil Lewington , Charles Mockett , and 2 more authors
    In SAE Technical Papers , Mar 2022
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    Performance of cpu and gpu hpc architectures for off-design aircraft simulation
    M. Turner , J. Appa , and N. Ashton
    In AIAA Scitech 2021 Forum , Mar 2021
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    Assessment of RANS and DES methods for realistic automotive models
    N. Ashton , A. West , S. Lardeau , and 1 more author
    Computers & Fluids, Mar 2016