Topics / Stanford
Stanford Podcasts
A guide to how podcasts cover Stanford: the shows that reference Stanford most, what they focus on, and where to start. 99 episodes across 98 shows in the PlayNext corpus.
Swipe · Stanford only
Swipe through Stanford
Save time discovering your next favourite podcast by listening to just the best minute of an episode.
The stanford slate · every cover a link
Listening guide
Finding the right Stanford show for you
Listening for Stanford means moving between several different kinds of podcast. Some episodes use the name to identify a guest or setting; others use it as a route into medicine, entrepreneurship, artificial intelligence, law, or psychology. There is no single definitive Stanford conversation here. The useful choice is between sustained, institution-adjacent series and one-off interviews built around a particular researcher or idea.
The closest thing to sustained coverage
STAT AI: An Emergency Medicine Podcast offers the strongest sequence for listeners interested in Stanford-linked medical work. Its brisk, clinically fluent style makes technical material approachable without sanding away the caveats. Start with EP12 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 1) and continue directly to EP13 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 2). The two-part structure leaves room for more than a résumé-driven guest introduction. EP14 Fran Riley, MD, MSE Stanford Emergency Medicine extends the run with an explicitly emergency-medicine focus.
Center for Internet and Society has four Stanford-labelled Hearsay Culture installments: Ben Peters - Hearsay Culture Show #252 - KZSU-FM (Stanford), Pam Samuelson - Hearsay Culture Show #253 - KZSU-FM (Stanford), Lawrence Lessig - Hearsay Culture Show #254 - KZSU-FM (Stanford), and Michael Schudson - Hearsay Culture Show #255 - KZSU-FM (Stanford). These are measured, seminar-like interviews that give guests time to develop an argument. The parenthetical Stanford label does not tell you that all four episodes are examinations of the institution itself, so approach them as a consecutive run of serious academic conversations rather than a four-part institutional history.
The campus-talk feeling is clearest on Entrepreneurial Thought Leaders (ETL). Its conversations are polished and expansive, preferring explanation to quick takeaways. Eric Volmar (Stanford University) - A New Entrepreneurship Playbook is the business-minded entry, while Drew Endy (Stanford University) - A Synthetic Biology Dream heads toward science. Together they show why Stanford listening sprawls so quickly: the institution is often the common address, while the substantive subjects live far apart.
Admissions and post-degree paths receive a more personal treatment on B-Schooled: Get Your MBA Admit. The CEO & the Intern: A discussion with 2 Stanford MBAs at Woz AI: B-Schooled episode 284 promises a contrast built into its title. One MBA, Two Paths: Stanford MBAs on Building Impact Across Business, Wellness & Global Investing with Terry Cumes & Tristen Langley: B-Schooled episode 283 broadens that contrast across several professional directions. These are the more natural picks for listeners whose interest begins with the MBA experience rather than faculty research.
Stanford as a doorway into AI
For finance listeners, Absolute Return Podcast supplies a narrowly framed crossover in #248 - AI in Investing with Stanford AI Researcher Dr. Mohammad Rasouli. The show’s questions tend to be carefully scaffolded around investment theses, risks, and allocation decisions, so Stanford functions here as a credential attached to a practical topic: what AI means inside investing.
Super Data Science: ML & AI Podcast with Jon Krohn takes a more technical and socially critical route. 949: Why AI Keeps Failing Society, with Stanford professor Alex “Sandy” Pentland announces the argument plainly. The show is good at translating specialist language and then pressing one layer deeper, making this a better choice for someone who wants mechanisms and implications rather than a general business discussion.
The executive-facing counterpart is CXOTalk. Renowned MIT/Stanford Computer Scientist on AI and Collective Intelligence | CXOTalk #909 places collective intelligence at the center of a brisk, guided business interview. CXOTalk habitually steers broad AI claims toward organizations, workflows, measurement, and governance. That makes this less of a Stanford profile than a decision-maker’s conversation whose guest is identified through MIT and Stanford.
A much narrower institutional doorway appears on AIFC LegalTech Podcast. 010 - Dr Roland Vogl, Executive Director of CodeX – the Stanford Center for Legal Informatics and Executive Director of the Stanford Program in Law, Science and Technology is the clear pick for listeners specifically interested in Stanford-linked legal technology. The detailed title also tells you exactly what kind of affiliation is doing the work; it is a specialist interview, not a broad tour through Stanford and AI.
Research translated for everyday listeners
Some of the most approachable episodes begin with a Stanford affiliation and quickly move toward a concrete health question. Tick Boot Camp does this in The Stanford Scientist Rewriting the Future of Lyme Disease Treatment — Dr. Jayakumar Rajadas | Tick Boot Camp. Its patient-advocacy style is comfortable with dense medical vocabulary, but repeatedly translates and recaps for listeners who may be encountering the science through illness or caregiving.
The Liz Moody Podcast turns neuroscience into a promise of usable adjustments with Stanford Neuroscientist: 4 Simple Shifts to Fix Your Focus, Mood, & Motivation. The show’s brisk, conversational method favors clarification, practical framing, and an eventual verdict. The appeal here is Stanford-associated expertise presented as something to try or reconsider in daily life.
For a slower public-intellectual conversation, How To Academy Podcast offers Stanford's Ben Rein – The Neuroscience of Social Connection. Its interviews give guests room for long answers and tend to follow an idea beyond the first neat takeaway. The title is less prescriptive than Liz Moody’s, making the pair useful companions: one promises four shifts, while the other names social connection as the central question.
Then there is the adversarial option. Cracking the Shell on Psychological Science asks Was the Stanford Prison Experiment the Greatest Fraud of All Time? That title signals critique rather than affiliation-based authority. It is the sharpest choice for anyone interested in how a famous Stanford-labelled experiment is challenged in podcast form.
Where to start
For the deepest run, begin with STAT AI: An Emergency Medicine Podcast and play EP12 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 1) before its second part. For business and innovation, try Entrepreneurial Thought Leaders (ETL) with Eric Volmar (Stanford University) - A New Entrepreneurship Playbook. If AI’s social consequences are the draw, choose Super Data Science: ML & AI Podcast with Jon Krohn and 949: Why AI Keeps Failing Society, with Stanford professor Alex “Sandy” Pentland. For a skeptical counterweight to the many credential-led interviews, go straight to Cracking the Shell on Psychological Science and Was the Stanford Prison Experiment the Greatest Fraud of All Time?
Featured shows below are part of the PlayNext catalog. Updated weekly.
Featured shows
10 shows, described rather than listed
Each has a short write-up and a note on what it does best here.
2 episode(s) referencing Stanford.
1 episode(s) referencing Stanford.
1 episode(s) referencing Stanford.
1 episode(s) referencing Stanford.
1 episode(s) referencing Stanford.
1 episode(s) referencing Stanford.
1 episode(s) referencing Stanford.
1 episode(s) referencing Stanford.
1 episode(s) referencing Stanford.
1 episode(s) referencing Stanford.









