How Artificial Intelligence Will Transform Aviation with John Sipple

In this episode of Aviation Masters, Mike Busch sits down with Dr. John Sipple — machine learning professor at George Washington University, former Boeing Phantom Works engineer, Google AI veteran, and Diamond DA40 owner — for one of the most forward-looking conversations in the show's history.

From tracking ballistic missiles with Kalman filters to training neural networks at Google to building AI-powered diagnostics for GA aircraft, John brings a uniquely deep and practical perspective on where artificial intelligence is headed in aviation. The conversation covers everything from how to certify ML models with the FAA, to why technicians struggle with troubleshooting, to the Diamond DA40 oil pressure failures that inspired John to found Vyzerion AI.

If you own, maintain, or fly a piston aircraft, and especially if you've ever wondered what AI can actually do for GA safety, this episode is essential listening.

⏱ Chapters

00:49 – Introducing Dr. John Sipple

05:30 – Boeing Phantom Works: Missile Tracking & Kalman Filters

09:30 – From Big Data to Machine Learning: The Career Pivot

11:45 – AI vs. Machine Learning vs. Deep Learning: Defining the Terms

14:00 – How Neural Networks Work & Why 2012 Was a Turning Point

18:00 – Applying ML to Telemetry: From Missiles to Aircraft Engines

26:00 – What Is Explainable AI (XAI) and Why It Matters in Aviation

36:00 – Anomaly Detection in Piston Engines: How It Works