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This podcast focuses on explaining the fascinating ways that science and engineering change the world around us. In each episode, we talk to leading engineers from elite-level sports like cycling and Formula 1 to some of world's top academics to understand how fluid dynamics, machine learning & supercomputing are bringing in a new era of discovery. We also hear life stories, career advice and lessons they've learnt along the way that will help you to pursue a career in science and engineering.
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In this episode, Neil discusses five key trends in Computational Fluid Dynamics (CFD) that are shaping the industry now and in the coming years. He emphasizes the growing importance of GPUs, the integration of AI and machine learning, the shift towards cloud computing, and the potential for mergers and acquisitions in the CFD space. Each trend is e…
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S2, EP1 - Dr. Nikolas Tombazis - From Poacher to Gamekeeper, Defining the future of Formula 1
1:12:14
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1:12:14
In this episode of the Neil Ashton podcast, Nikolas Tombazis discusses his journey into engineering and Formula One, starting from his passion for mathematics, physics, and design. He shares how his childhood dream of designing Formula One cars led him to pursue engineering. Tombazis also talks about his experience at Cambridge University and the f…
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The first season of the Neil Ashton podcast comes to a close with a recap of the episodes and a glimpse into what's to come in the next season. Look out for Season 2 in September with lots more great guests and discussion on hypersonics, CFD, Formula One, cycling, space exploration and more!Por Neil Ashton
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S1, EP13 - Prof. Anima Anandkumar - The future of AI+Science
1:06:56
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Professor Anima Anandkumar is one of the worlds leading scientists in the field of AI & ML with more than 30k citations, a h-index of 80 and numerous landmark papers such as FourCastNet, which got world-wide coverage for demonstrating how AI can be used to speed up weather prediction. She is the Bren Professor at Caltech, leading a large team of Ph…
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S1, EP12 - Prof Karthik Duraisamy - Scientific Foundational Models
1:32:39
1:32:39
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Prof. Karthik Duraisamy is a Professor at the University of Michigan, the Director of the Michigan Institute for Computational Discovery and Engineering (MICDE) and the founder of the startup Geminus.AI. In this episode, we discusses AI4Science, with a particular focus on fluid dynamics and computational fluid dynamics. Prof. Duraisamy talks about …
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S1, EP11 - Prof. Max Welling - Machine Learning Pioneer & AI4Science Visionary
1:07:33
1:07:33
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In this episode, Neil interviews Professor Max Welling, one of the foremost experts in Machine Learning about AI4Science: the use of machine learning and AI to solve challenges in various scientific disciplines. They discuss and debate between data-driven and physics-driven approaches, the potential for foundational models, the importance of open s…
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This episode sets the scene for upcoming discussions on AI4Science with world renowned experts on machine learning. The focus is on using machine learning to solve scientific problems, such as computational fluid dynamics, weather modeling, material design, and drug discovery. The episode introduces the concept of machine learning and its potential…
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In this episode of the Neil Ashton podcast, Neil interviews Dr. Chris Rumsey, Research Scientist at NASA Langley Research Center. Chris is one of the main CFD experts at NASA Langley is globally reconised as a leader in CFD, particularly for aeronautical applications. The conversation focuses on computational fluid dynamics (CFD) and turbulence mod…
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In this episode, Neil speaks to Professor Jack Dongarra, a renowned figure in the supercomputing and high-performance computing (HPC) world. He is a Professor at University of Tennessee as well as a Distinguished Researcher at Oak Ridge National Laboratory (ORNL) and a Turing Fellow at the University of Manchester. He is the inventor of the LINPACK…
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S1, EP7 - Pat Symonds - Formula 1 Legend
1:21:51
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In this episode, Neil interviews Pat Symonds, one of the most well known and respected engineers in Formula One. They discuss Pat's career in engineering, his time in Formula One, and the evolution of the sport. Pat shares insights into his early motivations, his work with different teams, and the challenges he faced. They also touch on the growth …
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S1, EP6 - Prof Juan Alonso - the Future of Computational Science
1:27:06
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In this episode I speak to Prof Juan J. Alonso on his vision of the future of computational science as well as his journey from academia to entrepreneurship - founding Luminary Cloud. He reflects on the revolutions in computational science and the different ways of developing software throughout his career. Alonso emphasizes the importance of acade…
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S1, EP5 - Dimitris Katsanis - Designing the World's Fastest Bikes
1:52:17
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In this conversation, Neil interviews Dimitris Katsanis, one of the world leading experts in bike design. They discuss the UCI regulations that govern bike design for road and track racing. Dimitris explains the evolution of bike design and the role of carbon fiber and titanium in creating lightweight and aerodynamic bikes. He also talks about his …
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Summary In this episode, Neil discusses four key career questions that you should think about. He explores the pros and cons of pursuing a PhD, the path to becoming a professor, and the opportunities in the tech sector. He highlights the importance of gaining industry experience and the potential for higher salaries in the tech sector. Neil also me…
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S1, EP3 - Prof Tony Purnell - F1, British Cycling, PI Research and much more
2:15:28
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Professor Tony Purnell discusses his journey from a passion for motor racing and engineering in his youth to founding and leading Pi Research, a company specializing in race car electronics. He shares his experiences at university, including a Kennedy Scholarship to MIT, and his early career in the motor racing industry. Tony also explains how Pi R…
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S1, EP2 - Dr Florian Menter - Turbulence Modelling Pioneer
1:20:54
1:20:54
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Florian Menter discusses his journey in the field of computational fluid dynamics (CFD) and the development of the K-Omega SST model. He shares his experiences working at NASA Ames and the collaborative environment in the CFD community. Florian also talks about his decision to return to Germany and his role in the early days of what would be become…
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In this short first episode Neil will explain why he's created the podcast, the guests he'll be interviewing and the topics that will be covered.Por Neil Ashton
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