EP 11: Rick Stevens (Argonne National Laboratory)

EP 16: Vasileios Maroulas (AI Tennessee Initiative)

In this insightful interview, Vasileios Maroulas discusses his journey from Greece to the US, his research in AI and data science, and the impactful work of the AI Tennessee initiative. Discover how academia, industry, and government collaborate to advance AI research and workforce development in Tennessee.

EP 15: Kevin Weil (OpenAI)

In this episode, SeedAI Director of Policy, Josh New, sits down with Kevin Weil, who at the time of this recording was VP of OpenAI for Science. Kevin and Josh dig into how OpenAI's science team is hiring practicing mathematicians, physicists, and biologists to push frontier models past the edge of human knowledge, and how AI is being built directly into the day-to-day workflows of working scientists. Kevin discusses OpenAI's role in the Department of Energy's Genesis Mission and what it could mean for fields like fusion. The conversation also covers the barriers still slowing adoption across the scientific community, and why peer review and human expertise remain essential even as AI takes on a larger role at the bench. This conversation was recorded on March 10th, before Kevin's departure from OpenAI. Enjoy the show!

EP 14: Andrew Trask (OpenMined)

In this interview, Andrew explains why many of today’s biggest AI challenges—like privacy, data access, and control—are really problems of information governance, and shares a vision for a future where better data governance could accelerate breakthroughs in everything from healthcare to financial systems.

EP 13: Richard Fox (bitBiome)

Richard Fox, Head of Innovation at BitBiome, shares insights into the future of biotechnology, protein engineering, and AI-driven biological discovery. Discover how microbial diversity, data, and AI are revolutionizing medicine, manufacturing, and environmental solutions.

EP 12: Edward Shenderovich (Roebling)

In this conversation, Edward Shenderovich, co-founder and CEO of Roebling, discusses the intersection of business and science, particularly in the realm of bio-manufacturing. He shares insights on the importance of integrating engineering principles early in the scientific process to optimize production and commercialization. The discussion covers the challenges faced in bio-manufacturing, the role of data in matching production needs, and the future of manufacturing with AI. Edward emphasizes the need for a cultural shift in how scientists approach their work, advocating for early consideration of scalability and production processes.