• AI Systems - making frontier models fast and scalable.
• AI for Science and Biology - agents and foundation models across the scales of biology.
• Relational and Tabular Foundation Models - learning directly on the structured data that runs the world.

This workshop brings together Stanford researchers and industry partners to explore advances in data-centric AI, spanning tabular and relational foundation models, agentic systems, and applications in biology and science. Through research talks, case studies, and discussion, the workshop will highlight emerging ideas, foster new collaborations, and examine how frontier research creates value in real-world settings. Whether you're working in industry, academia, or startup land, there will be something to spark your curiosity and drive your work forward.