Learning, reasoning, and discovery from complex data.

Building AI that understands complex relational, multimodal, and scientific data — and turns representations into reasoning, personalization, and discovery.

We are DSAIL at KAIST, led by Prof. Chanyoung Park. Our research spans graph and relational learning, personalized recommendation, multimodal intelligence, agentic AI, and AI for science. Across these areas, we study how representations learned from complex data can support generalization, reasoning, decision-making, and discovery.

Looking to join the lab? See Prospective students.