Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, AI in Life Sciences @stanfordonline
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, AI in Life Sciences  @stanfordonline
Uploaded July 2026 | Updated September 2026, 2 weeks ago
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Guest Speaker: Eric Kauderer-Abrams, Head of Life Sciences, Anthropic

Instructor: Apoorv Agrawal is a Stanford Adjunct Lecturer in Management Science and Engineering and a partner at Altimeter Capital.

Playlist: youtube.com/playlist?list=PLoROMvodv4rOAe_DtQYOCKy6_x3irEYV1&si=hI20BgdZqMFtAKS-
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, AI in Life SciencesStanford CS229 Machine Learning | Spring 2026 | Lecture 8: Neural Networks 2 (Backprop)Course Overview: Change Management: Reskilling in the Age of Analytics and AIStanford Robotics Seminar ENGR319 | Winter 2026 | Autonomous Navigation and Safe HumanoidsStanford Course - Technical Fundamentals of Generative AIStanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 8 - Trending TopicsStanford CS329A Self-Improving AI Agents | Part 3 | Robust VerificationStanford Robotics Seminar ENGR319 | Winter 2026 | 𝚿0: An Open Foundation ModelStanford CS229 Machine Learning | Spring 2026 | Lecture 14: Transformers, In-Context LearningWhat Are Biomechanics and Mechanobiology? Associate Professor Marc Levenston ExplainsCourse Overview - Technical Fundamentals of Generative AIStanford Robotics Seminar ENGR319 | Spring 2026 | Unlocking Autonomous Medical Robotics
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Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, AI in Life Sciences

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