Podcast Atlas
entity Updated 2026-08-18 Topics: Technology, Economics

Stanford University

E247｜对话盛颖：xAI，Infra的浪漫，SGLang，开源，平权与“甄嬛传” adds Stanford through 盛颖’s PhD path in Formal Verification with Clarke Barrett. The source uses Stanford as the environment where she moved from mathematical proof and SMT solver work toward large-model inference, LM-SYS, and SGLang.

Stanford University is cited in Using AI chatbots for mental health support poses serious risks for teens, report finds as one of the report sources behind the episode’s discussion of Teen Chatbot Mental Health Risk. The episode pairs Stanford with Common Sense Media in describing findings about teen AI-chatbot companionship and mental-health support risk.

In this wiki branch, Stanford’s first role was institutional rather than biographical: the report source uses it to move AI companion discussion toward minors, professional care boundaries, and AI Governance And Compliance.

160.优秀的绵羊：请把说“不”的权利还给我 adds Stanford as an elite-education mental-health reference through “Stanford Duck Syndrome.” In that source, the image of students appearing calm above the water while paddling frantically below it becomes part of Achievement Pressure Mental Health and the critique of Ivy League Meritocracy: prestige can hide distress as easily as it signals opportunity.

Tony Xu on Building DoorDash from a Class Project into a Global Marketplace adds Stanford as the educational and startup context for DoorDash. Tony Xu entered Stanford business school after John Donahoe encouraged him to apply, then worked with Evan Moore, Stanley Tang, and Andy Fang in Stanford Startup Garage before launching PaloAltoDelivery.

95.都市传说：猎奇故事和我们内心深处的焦虑 adds Stanford as an institutional urban legend case. The episode recounts and debunks the sentimental founding tale in which the Stanfords supposedly built the university after being dismissed by Harvard, using it to show how institutional origin myths can travel by email even when official history contradicts them.

Garry Tan on Returning to Y Combinator adds Stanford as part of Garry Tan’s founder formation. Tan says Stanford changed his life and humbled him by putting him around stronger peers, but the episode contrasts Stanford’s credential prestige with Y Combinator as a builder-centered institution focused more directly on making products and companies.

Christina Cacioppo on Vanta, Coding, and Compliance Automation adds Stanford as part of Christina Cacioppo’s pre-founder path before Union Square Ventures, self-directed coding, Dropbox, and Vanta. In this source, Stanford is mostly an exposure and network starting point rather than the decisive product insight; the Vanta idea comes later from compliance pain and customer discovery.

Edith Elliott on Noora Health, Caregivers, and Trust-Based Philanthropy adds Stanford as the design-project origin of Noora Health. Edith Elliott met her co-founders as graduate students, then worked through a human-centered design course that sent the team into Indian hospitals to study overcrowding, family presence, and care instructions. This adds a global-health branch where Stanford is less a credential signal than a field-research and project-formation environment for Family Caregiver Training.

Dimitri Dadiomov on Modern Treasury and Financial Plumbing adds Stanford through Dimitri Dadiomov’s undergraduate connection to Y Combinator. Dadiomov was president of BASES when he helped Jessica Livingston and YC host Startup School at Stanford in 2006, creating a long relationship before his later Modern Treasury interview.

Ron Conway on Google’s Early History and SV Angel’s Role adds Stanford as the research and sourcing environment behind early Google. Ron Conway says SV Angel deliberately cultivated Stanford engineering professors because startups often came out of PhD programs; David Cheriton and Rajiv Motwani then became key links to Larry Page, Sergey Brin, and PageRank Search Relevance.

E233｜硅谷右翼的权力网如何形成？聊聊彼得·蒂尔的思想启蒙拼图 adds Stanford as the campus-political environment behind Peter Thiel’s Stanford Review. The 硅谷101 episode frames late-1980s Stanford as a place where progressive curriculum and identity-politics debates created a local conservative counter-public that later fed Technology Right Power Network.

Tyler Shultz, Theranos Whistleblower (Part 1) adds Stanford as Tyler Shultz’s student and post-resignation context in the Theranos story. Tyler met Elizabeth Holmes while he was a junior, later interned at Theranos between junior and senior year, and after resigning began moving toward work in a Stanford lab. In this source, Stanford is less a startup launchpad than the educational and scientific baseline against which Theranos’s broken Medical Testing Validation Integrity becomes legible.

Tyler Shultz, Theranos Whistleblower (Part 2) extends the Stanford branch from baseline to recovery. Tyler says he worked heavily in a Stanford lab during the legal-pressure period, and that the technology he later worked on was spun out into a startup. In this source, Stanford is one of the few stable work contexts available while Whistleblower Legal Intimidation narrowed his social life.

Would you trust an economist with your economy? adds Stanford through Nick Bloom’s work-from-home research. The episode uses Bloom’s job-specific evidence to show that economists can face distrust from executives as well as politicians, especially when data challenges career-formed intuitions about offices and productivity.

149. 亲历中美 New Labs 资本狂潮，和清华刘子鸣聊：AI for AI、机制可解释性和 Max Tegmark adds Stanford through Liu Ziming’s postdoctoral and startup-exposure period. The source says Stanford changed his view of entrepreneurship because peers and friends were starting companies and because he saw a New Lab-style research startup form nearby.

Data, AI, and Scientific Research: A Coffee Chat adds Stanford through Mossam, introduced as a research scientist working across organic chemistry, radiochemistry, and biomedical imaging. In this branch, Stanford is a source-scoped research environment for Retrosynthesis AI, Radiochemistry Imaging Tracers, Blood-Brain Barrier Prediction, and Experimental Science Data Quality rather than a startup or policy context.

EP 6: Data Science & AI Talk adds Stanford as the prior-work reference for Paulina Nemkova’s EEG Brain Reading project. The source says her team began by replicating related Stanford work and stayed in touch with Stanford professors, making Stanford part of the episode’s Research Replication Integrity branch.

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