John Seo, founder of Fermat Capital, about the lessons of Katrina for catastrophe bonds and models 20 years later.

• (00:00) - Introduction
• (02:00) - Katrina as a Market Catalyst
• (06:30) - Investor Confidence Under Fire
• (11:00) - The First True Test of Catastrophe Models
• (16:00) - Politics, Policy, and Deductibles
• (22:30) - The In-House View of Models
• (28:00) - Beyond Peak Perils
• (34:00) - AI and Model Acceleration
• (38:00) - A Biophysics Approach to Complex Systems
• (44:00) - Katrina’s Legacy in Today’s Markets
• (49:00) - Why Katrina Still Shapes Investor Confidence and Risk Transfer Today

Less than a year after the devastating Los Angeles fires, I’m joined by Michael Wara from Stanford University.

We explore why Michael is skeptical about California developing a public wildfire model, despite being part of the strategy group that studied it. We'll dig into how the newly approved private wildfire models are about to transform California's insurance market. And we'll discuss something that's crucial but often overlooked: how community-scale risk mitigation efforts can and should be integrated into these models.

We talk with Dr. Victor Gensini, a professor at Northern Illinois University and one of the leading experts on severe convective storms. Dr. Gensini works with the Insurance Information Institute and has just launched a new center for convective storm research, bringing together academic research and industry needs to tackle this modeling challenge.

We'll explore why these storms are so much harder to model than hurricanes, what new data sources are filling the gaps in our understanding, and why we're still five to ten years away from having reliable catastrophe models for severe convective storms.

In this episode we talk with Dr. Tina Dura, a coastal hazard researcher at Virginia Tech, as she unpacks a threat that most risk models still underestimate: Sudden land subsidence from a long expected Cascadia subduction zone earthquake.

We're joined by Michiel W. Ingels, lead author of research that takes stock of the state of climate risk insurance modeling and maps out where it needs to go next.

On this episode of the Risky Science Podcast, we talk with Cory Isaacson, CEO of ReThought Insurance — a longtime tech and insurance executive who’s spent years building new models aimed at making flood risk more accurate, more transparent, and more insurable.

In this episode we speak with Dr. Neil Ferguson, a leading voice in infectious disease modeling and Director of the Jameel Institute at Imperial College London. We talk about how disease models are built, how they’ve evolved over the last two decades, and what happens when they move from academic research into policy, politics, and even the private sector.

We're joined by Dr. Paolo Bocchini, Professor of Civil and Environmental Engineering at Lehigh University, a leading researcher in catastrophe modeling and infrastructure resilience. Dr. Bocchini is the director of Lehigh’s Center for Catastrophe Modeling and Resilience, and he’s spearheading a new collaboration with Rice University—the Consortium for Enhanced Resilience and Catastrophe Modeling.

In this episode, we dive into why academic and private-sector research in catastrophe risk have grown apart—and what it takes to reconnect them. We talk about multi-hazard risk, the power and limits of AI in modeling, the role of surrogate models, and how future disasters—from wildfires to earthquakes—demand new thinking.