About the seminar
This seminar series brings people together to hear about and discuss groundbreaking research at the intersection of advanced AI models and valuable datasets across diverse scientific domains. We hope the seminar serves as an informal watering hole where researchers across academia and industry meet, exchange findings, and spark new collaborations.
We welcome a wide range of topics and encourage community suggestions. Our initial speakers cover topics ranging from decoding complex biological systems to modeling human behavior and macroeconomic trends. Many of our speakers—though not all—leverage Stanford’s high-performance computing infrastructure, including the Marlowe GPU cluster.
Whether you build frontier models or apply them to domain-specific challenges, join us to explore where AI-driven research is heading next.
Logistics
- When: Wednesdays, 4:30 PM
- Where: CoDA E160 is the usual room. A talk held elsewhere is flagged on the schedule and in the “Up next” box above. In Fall 2026, the September 23 and October 7 talks meet in Packard 101.
- Mode: In person only; there is no remote option.
- Audience: Open to everyone, Stanford and non-Stanford.
- Course Enrollment: Students may register via Axess under CS 292, EE 292R, PSYCH 292R, or STATS 282 on a credit/no-credit basis. (The requirement is a short write-up on one of the seminar topics, chosen by the student. Details will follow.)
Organizers
Emmanuel Candès Statistics & Mathematics
Balasubramanian Narasimhan Statistics & Biomedical Data Science
Brian Wandell Psychology
Gordon Wetzstein Electrical Engineering