
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.
| Publishes | Twice monthly | Episodes | 41 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Natural SciencesScience | |||

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
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
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
People also subscribe to these shows.



How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
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
Rephonic provides a wide range of podcast stats for The Neil Ashton Podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to The Neil Ashton Podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for four million podcasts, including the number of listeners. View further listenership figures for The Neil Ashton Podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for The Neil Ashton Podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers The Neil Ashton Podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
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
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.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for The Neil Ashton Podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of The Neil Ashton Podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
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
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.