Neil Ashton is a Distinguished Engineer at NVIDIA, with a specific focus on Computer-Aided Engineering (CAE). In this role he helps to guide the development of NVIDIA products and drive adoption of NVIDIA’s platform among CAE partners and practitioners. Prior to NVIDIA, he was the WW Tech Lead for CAE at Amazon Web Services. Previous to these positions he was a Senior Researcher within the Department of Engineering Science at the University of Oxford developing novel high-fidelity CFD methods. Dr. Ashton also worked in Formula 1 with the Lotus F1 team (now Alpine F1) and worked with Formula 1 Management and the FIA on the 2022 technical regulation changes. He is a Fellow of the Institution of Mechanical Engineers who has published more than 50 papers, and is an active contributor/leader in international workshops such as the AIAA High-Lift Prediction Workshop and Automotive CFD Prediction workshop series, which he created in 2019. He’s also passionate about explaining science and engineering to the general public and also hosts a podcast interviewing some of the luminary engineers and scientists in the fields of CAE, HPC and ML. Neil earned his MEng and Ph.D. in Aerospace Engineering from the University of Manchester, UK.