박찬영 연구실

Our research areas, where they intersect, and where they are applied. Most of the lab's recent work sits at the intersections. These are the ones growing fastest. Domains where the methods above have been put to work, with collaborators in industry, sports, and the sciences. 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.