AI and Data for Science
A weekly seminar at Stanford’s Computing and Data Science building on AI and data-driven methods across the sciences — a different Stanford speaker each Wednesday through the autumn quarter.
Course EE 292R · PSYCH 292R · STATS 282
CoDa
Computing & Data Science · Stanford
Ten sessions run on Wednesday afternoons from September 23 through December 2, 2026, in person on campus. Each is 4:30–5:30 PM in room E160 at CoDa, except September 23 and October 7, which meet in Packard 101.
Every session is given by a different Stanford speaker, listed below as each date approaches. The “Talk details” link on a card opens that session on the organizers’ schedule, where talk titles and abstracts appear as they are posted.
The seminar is organized outside the Marlowe team, so questions about the sessions themselves are best directed to the organizers. For day-to-day help with running on Marlowe, the team holds open office hours twice a month on Zoom.
Upcoming sessions
The dates, time, and room below are confirmed. Speakers are listed as the organizers announce them; the “Talk details” link on each card opens that session on the organizers’ schedule, where titles and abstracts are posted as they are finalized. Full course details here.
CoDaAI and Data for Science: Curtis Langlotz
Training Methods for a Medical Imaging Foundation ModelCoDa E160Talk details
CoDaAI and Data for Science: Anshul Kundaje
Decoding regulatory DNA with deep learning modelsCoDa E160Talk details
CoDaAI and Data for Science: Dan Yamins
Large-Scale Computational Models at the Neuroscience-AI IntersectionCoDa E160Talk detailsCoDaAI and Data for Science: Ruijiang Li
Multi-Modal Foundation Models for Precision MedicineCoDa E160Talk detailsCoDaAI and Data for Science: Alex Pentland
Detecting coordinated behavior across multiple fully encrypted domainsCoDa E160Talk detailsCoDaAI and Data for Science: Andreas Tolias
Decrypting the Brain with AICoDa E160Talk detailsCoDa