Podcast thumbnail for DeanCast

by William and Mary's School of Computing, Data Sciences and Physics

5.0(1 reviews)
10 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸

Podcast Overview

DeanCast is hosted by Doug Schmidt, the Dean of Computing, Data Sciences & Physics at William & Mary. In each episode Doug talks with a member of the W&M community - both past and present - to explore the research questions that drive them, the discoveries that excite them, the experiences they’ve had as teachers and students, and the societal impact of their work. Theme: 'Upbeat Summer Background Music' by DELOSound via pixabay.com

Language

🇺🇲

Publishing Since

10/8/2025

2 verified contact emails on file for DeanCast

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for Programming Life: Regeneration, Resilience, and Synthetic Biology

June 23, 2026

Programming Life: Regeneration, Resilience, and Synthetic Biology

<p>In this episode of DeanCast, we sit down with Dr. Margaret Saha, Chancellor Professor of Applied Science at William &amp; Mary, to explore how living systems adapt, heal, and thrive in an unpredictable world. From her unconventional journey studying history to developmental biology, Margaret shares how a fascination with discovery led her to question how organisms maintain robustness and plasticity, and how those same principles might help us engineer biology for the future.</p><p>Margaret discusses her groundbreaking work with frog embryos, whose remarkable ability to reorganize and regenerate tissues offers clues for repairing the human nervous system. She explains how advances in synthetic biology and AI are opening new possibilities for programming cells to regenerate damaged tissues, clean up environmental pollutants, and create smarter medicines. The conversation also explores William &amp; Mary’s leadership in hands-on biological research through programs such as Phage Lab and iGEM, where students tackle real-world challenges using interdisciplinary approaches that span biology, computing, engineering, and public policy. Ultimately, Margaret argues that biology is entering a new era—one where understanding how life builds and repairs itself may help address some of humanity’s most pressing challenges.</p>

Episode thumbnail for Chasing Neutrinos: Ghost Particles & Big Questions

May 7, 2026

Chasing Neutrinos: Ghost Particles & Big Questions

<p>In this episode of DeanCast, host Dean Schmidt sits down with experimental particle physicist Dr. Tricia Vahle to explore one of the universe’s most puzzling phenomena: neutrinos. </p><p>From massive underground detectors to international collaborations decades in the making, Vahle shares how scientists are uncovering clues on how neutrinos change identity and may even break our current fundamental understanding of physics. The conversation also reveals the human side of discovery—what it takes to coordinate hundreds of researchers across the globe, how basic science drives unexpected innovations, and why emerging tools like AI are transforming the future of physics.</p><p>Whether you&#39;re curious about the origins of the universe or the power of collaborative science, this episode offers a compelling look at how bold questions, and the people who pursue them, push the boundaries of knowledge.</p>

Episode thumbnail for Hackers, Helpers, and Hallucinations: AI’s Double-Edged Role in Cybersecurity

April 1, 2026

Hackers, Helpers, and Hallucinations: AI’s Double-Edged Role in Cybersecurity

<p>In this episode of DeanCast, we explore the evolvingintersection of AI and cybersecurity with Dr. Yue “Luna” Xiao, Assistant Professor of Computer Science at William &amp; Mary. </p><p>Drawing on her experience in both academia and industry, Dr. Xiao examines how AI is transforming the way we identify software vulnerabilities – while simultaneously introducing new risks that demand urgent attention.</p><p>From uncovering tens of thousands of previously unknown bugs in the Linux kernel to demonstrating how AI agents can be manipulated through surprisingly simple attacks, Dr. Xiao’s work highlights both the scale of AI’s capabilities and the complexity of securing it. She also reflects on how AI isreshaping education and lowering the barrier to entry in computing, enabling students from diverse backgrounds to build real-world systems earlier than ever before. </p><p>Join us for a timely conversation on the promises, pitfalls,and responsibilities of AI in today’s cybersecurity landscape.</p>

10 total episodes available

Deep-dive analytics for DeanCast

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is DeanCast?

DeanCast is hosted by Doug Schmidt, the Dean of Computing, Data Sciences & Physics at William & Mary. In each episode Doug talks with a member of the W&M community - both past and present - to explore the research questions that drive them, the discoveries that excite them, the experiences they’ve had as teachers and students, and the societal impact of their work.

Theme: 'Upbeat Summer Background Music' by DELOSound via pixabay.com

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Information about guest appearances is not available.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.