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The Neil Ashton Podcast

Neil Ashton
Computational Fluid Dynamics
Machine Learning
Artificial Intelligence
Aerodynamics
NASA
Formula One
Turbulence Modeling
High-Performance Computing
Cycling
Supersonic Travel
Engineering
Sonic Boom
X-59
Fluid Dynamics
High Performance Computing
Concorde
Aircraft Design
Foundational Models
Aerospace Engineering
AI and Machine Learning

The Neil Ashton Podcast explores artificial intelligence, computational engineering, computational fluid dynamics, scientific machine learning, and high-performance computing. Hosted by Neil Ashton, a Distinguished Engineer at NVIDIA, it features conversations with leading researchers and engineers about technology, careers, and scientific discovery.

PublishesTwice monthlyEpisodes41Founded2 years ago
Number of ListenersCategories
Natural SciencesScience

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Latest Episodes

Should you still study engineering when AI can already write code, analyse data and automate parts of an engineer's job?

In this solo episode, Neil Ashton gives his view on engineering education and careers in the age of AI. His answer is yes—but th... more

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Hydrogen combustion, high-fidelity CFD and the future of aircraft propulsion are the focus of this conversation with Dr. Daniel Mira, Head of the Propulsion Technologies Group at the Barcelona Supercomputing Center. Neil and Dani discuss why reacting... more

Differentiable physics, neural emulators and foundation models for PDEs are the focus of this conversation with Professor Nils Thuerey, head of the Physics-based Simulation group at TUM. Neil and Nils discuss PhiFlow, PICT, Tadpole, scalable 3D trans... more

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RANS uncertainty, data-driven turbulence modeling and AI for Science are the focus of this conversation with Professor Paola Cinnella, Professor of Fluid Mechanics at Sorbonne University and Director of SCAI. Neil and Paola discuss high-order methods... more

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Recent Guests

Daniel Mira
Head of the Propulsion Technologies Group at the Barcelona Supercomputing Center
Barcelona Supercomputing Center
Episode: S4 EP6 - Daniel Mira on Hydrogen Combustion Modelling and Future Propulsion
Nils Thuerey
Professor at Technische Universität München (TUM), pioneer in physics-based deep learning
Technical University of Munich
Episode: S4 EP5 - Prof. Nils Thuerey on Differentiable Physics and Foundation Models
Paola Cinnella
Professor of Fluid Mechanics at Sorbonne University; director of the Sorbonne Cluster for Artificial Intelligence
Sorbonne University
Episode: S4 EP4 - Prof. Paola Cinnella on AI for Science and Fluid Mechanics
Ricardo Vinuesa
Professor of aerospace engineering at the University of Michigan, specializing in turbulence, ML for CFD, explainable AI, and foundation models for fluids
University of Michigan
Episode: S4 EP3 - Prof. Ricardo Vinuesa on AI for Fluid Mechanics
Nathan Kutz
Professor at the intersection of machine learning, dynamical systems, and fluid mechanics
Autodesk Research
Episode: S4 EP2 - Prof. Nathan Kutz on Physics-Informed AI and Data-Driven Modeling
Joris Poort
CEO and Founder of Rescale
Rescale
Episode: S3 EP5 - Joris Poort - CEO and Founder of Rescale
Johannes Brandstetter
Professor and co-founder of the startup MEAI
Johannes Kepler University, Austria
Episode: S3 EP3 - Professor Johannes Brandstetter on AI for Computational Fluid Dynamics
Russ Cummings
Director of the Hypersonic Vehicle Simulation Institute at the United States Air Force Academy
United States Air Force Academy
Episode: S3 EP2 - Prof. Russell Cummings - World leader in Aerospace Engineering and Hypersonics
Professor Mike Giles
A pioneer in CFD and computational mathematics, known for developing the Hydra CFD code and multi-level Monte Carlo methods in finance.
University of Oxford
Episode: S3 EP1 - Prof. Mike Giles - A CFD and Computational Finance Pioneer

Host

Neil Ashton
Host of The Neil Ashton Podcast

Talking Points

Recent interactions between the hosts and their guests.

S3 EP5 - Joris Poort - CEO and Founder of Rescale
Q: What would be like the biggest unsolved challenge that you think the next startup should try to tackle?
Closing the sim to real gap and creating digital twins for various applications in engineering and manufacturing.
S3 EP5 - Joris Poort - CEO and Founder of Rescale
Q: What was your pitch for that startup for full Rescale?
The concept of HPC in the cloud was very new at the time, and it was challenging to convince investors to jump on board.
S3 EP2 - Prof. Russell Cummings - World leader in Aerospace Engineering and Hypersonics
Q: What advice would you give to people who are maybe your younger self, who are looking for a career to follow you?
My advice would be to persevere and not to give up; simply focus on what you're interested in and keep going even when others doubt your choices.
S2, EP6 - Dr. Prith Banerjee - ANSYS CTO
Q: What advice would you give to people at the end of this to motivate them in their careers?
Follow your passion and take risks. Use the advanced technologies available today to solve complex problems.
S1, EP4 - Academia or Industry? PhD or no PhD? Career advice
Q: How do I become a professor?
Becoming a professor typically requires completing a PhD, followed by years of post-doctoral research, teaching, and publishing to establish oneself in the academia.

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Frequently Asked Questions About The Neil Ashton Podcast

What is The Neil Ashton Podcast about and what kind of topics does it cover?

This series centers on artificial intelligence, computational engineering, and high-performance computing, with deep dives into CFD, physics-informed ML, and AI-enabled science. Episodes frequently explore how GPUs, surrogate modeling, and foundation models are transforming CAE workflows, turbulence modeling, and aerospace design, often balancing academic rigor with industry applicability. Guests are leading researchers and engineering leaders who discuss practical challenges—data fidelity, uncertainty quantification, licensing, and the economics of data and compute—alongside career journey stories and visions for the future of AI-driven engineering. A standout throughline is the blend of rigorous science with real-world deployment, includi... more

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Which podcasts are similar to The Neil Ashton Podcast?

These podcasts share a similar audience with The Neil Ashton Podcast:

1. Dwarkesh Podcast
2. Machine Learning Street Talk (MLST)
3. All-In with Chamath, Jason, Sacks & Friedberg
4. Super Data Science: ML & AI Podcast with Jon Krohn
5. The Diary Of A CEO with Steven Bartlett

How many episodes of The Neil Ashton Podcast are there?

The Neil Ashton Podcast launched 2 years ago and published 41 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on The Neil Ashton Podcast?

Recent guests on The Neil Ashton Podcast include:

1. Daniel Mira
2. Nils Thuerey
3. Paola Cinnella
4. Ricardo Vinuesa
5. Nathan Kutz
6. Joris Poort
7. Johannes Brandstetter
8. Russ Cummings

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