talks

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. \