talks
- Feb 2026 Sutter Hill Ventures AI seminar series - Towards a Foundation Model for Computational Engineering: Opportunities, Challenges, and Novel Scaling Laws
- Nov 2025 Ohio State Aero/Acoustics MIXA Seminar series - Perspectives on Foundational AI Models for Computational Fluid Dynamics
- June 2025 PASC25 - Scaling AI Surrogate Modelling Methods Towards Industrial Application for Computational Fluid Dynamics mini-symposium
- June 2025 ISC25 - Machine Learning for Computer-Aided Engineering Birds of a Feather session
- May 2025 NASA High Fidelity CFD Workshop 2025 - Enabling industrially relevant high-fidelity CFD and AI surrogate models for external aerodynamics (Invited)
- March 2025 2nd ERCOFTAC Machine Learning for Fluid Dynamics - (Plentary panel session chair) and ‘Detailed assessment of a data-driven GNN approach for the AhmedML, WindsorML and DrivAerML datasets’
- October 2024 AutoCFD4 - AI/ML TFG - Initial AutoCFD4 results using the WindsorML and DrivaerML datasets
- March 2024 1st ERCOFTAC Machine Learning for Fluid Dynamics - Open-Source Machine Learning Training Dataset for the Windsor Body Using High-Fidelity Cartesian Immersed Boundary WMLES
- November 2023 - F1/AWS Trackside; The power of data event - why do golf balls have dimples, An exploration of aerodynamics and it’s influence on winning F1 races
- July 2023 - 18th OpenFOAM Conference - Keynote - The role of Cloud Computing, Machine Learning and HPC in accelerating the adoption of high-fidelity CFD for industry
- April 2023 - Invited Keynote: 22nd International Computational Fluids Conference (CFC2023), Cannes - The role of Cloud Computing, Machine Learning and HPC in the advancement of high-fidelity CFD for industry
- March 2023 - NASA Ames Research Centre AMS Seminar Series - How Cloud Computing, Machine Learning and High-Performance Computing are accelerating adoption of HRLES & WRLES methods for industry (link to video).
- March 2023 - MIT ACDL Seminar Series - The role of cloud-computing, machine learning and HPC in in the advancement of high-fidelity CFD for industry.
- August 2021 - Aerovehicles international conference (invited keynote) - Summary of the 2nd automotive CFD prediction workshop
- April 2021 - SAE World Congress (invited Keynote) - The role of cloud computing and Machine Learning in next generation CFD for vehicle aerodynamicists
- December 2020 - NASA Ames Research Centre AMS Seminar Series - High-Fidelity CFD in the Cloud – Thoughts and Perspectives - https://www.nas.nasa.gov/publications/ams/2020/12-17-20.html
- June 2020 - 15th OpenFOAM Workshop (Virginia Tech) - Keynote: Enabling High-Fidelity CFD on the Cloud through AWS
- January 2020 - Oxford University Aeronautical Society - Turbulence and Aerodynamics - enabling a greener future
- November 2019 - International Society for Computational Fluid Dynamics - Towards High-Fidelity CFD in the Automotive Sector
- October 2019 - University of Oxford Scientific Society - Turbulence and Aerodynamics - enabling a greener future
- September 2019 - IMechE Simulation and Modelling Conference - Future of CFD in Industry
- June 2019 - Amazon Web Services - Future of CFD and opportunities for the cloud
- February 2019 - Gdansk University - Industrial Hybrid RANS-LES Applications
- October 2018 - Oxford Sparks podcast - Stories from the field
- November 2017 - Airbus DiPart 2017 - Verification and validation of OpenFOAM for high-lift aircraft flows
- November 2017 - Supercomputing 2017 (Lenovo) - Improved aerodynamics using HPC
- May 2017 - ParCFD 2017 - High-fidelity industrial simulations in OpenFOAM on ARCHER - perspectives on the need for exa-scale
- October 2016 - NAFEMS Hybrid RANS-LES Seminar - Hybrid RANS-LES –Automatic Mesh Refinement (AMR) and HPC Considerations
- August 2016 - Oxford-Royale Summer School - Motivational talk for 16-18 year Oxford summer school students on turbulence and finding a fun career in science and engineering
- May 2016 - NASA Ames Research Centre AMS Seminar Series - Recent experiences of modeled-stress-depletion using DDES and IDDES for the 30P30N three-element airfoil
- February 2016 - TEDx Oxford - Turbulence, Finding Order in Chaos
- February 2016 - High Performance Computing & Big Data 2016 conference (invited talk) - Developing an Improved Aerodynamic Design Process for the Aerospace and Automotive Industries using HPC
- February 2016 - Institut de Mécanique des Fluides de Toulouse (IMFT) - Towards an entirely virtual design process: The challenge for turbulence modeling
- September 2015 - University of Manchester - Engaging with US Academia and Industry for aerospace research
- May 2015 - Oxford University E-Research Centre - Towards an entirely virtual engineering design process: The challenge for turbulence modeling
- February 2015 - Boeing R&D, Computational Challenges for aerodynamic design in Formula 1
- February 2015 - NASA Ames Research Centre, Computational Challenges for aerodynamic design in Formula 1
- October 2014 - Gdansk University, Embedded hybrid RANS-LES approaches.
- August 2014 - Toro Rosso Formula 1 Team, Application of Elliptic Blending models for complex geometries.
- March 2014 - NASA Ames Research Centre, An Embedded Hybrid RANS-LES Approach for 3D Separated Flows.
- March 2014 - University of California - Los Angeles (UCLA) - Faculty of Engineering, An Embedded Hybrid RANS-LES Approach for 3D Separated Flows.
- March 2014 - Barcelona Supercomputing Centre (BSC), Aero-acoustic prediction of a 3-element airfoil using hybrid RANS-LES methods.
- October 2013 - Oxford University - Faculty of Engineering, Overview of recent Hybrid RANS-LES developments at the University of Manchester.