About NAIRL

Leadership

NAIRL is directed from KAIST and led by principal investigators across its four hosting universities — a cross-functional team that sets research direction and steers collaboration across the consortium.

Director

The Director sets and steers NAIRL’s strategic direction, coordinating across the consortium’s participating universities, companies, and partner institutions.

Kee-Eung Kim
Director & Principal Investigator

Kee-Eung Kim

Chair Professor, Kim Jaechul Graduate School of AI, KAIST

As Director, Kee-Eung Kim leads NAIRL’s overall research strategy and oversees the consortium’s operations across its four hosting universities. A leading scholar in reinforcement learning and probabilistic reasoning, he heads the KAIST AI & Probabilistic Reasoning Lab and directs the lab’s pursuit of foundational, next-generation AI.

He guides NAIRL’s mission to build an open national research platform — one that unites Korea’s AI talent with the world’s leading institutions and elevates the country’s standing in global AI research and governance.

Executive Leadership

A research leadership council that works across institutional and disciplinary boundaries.

Principal investigators from the hosting universities and the leads of NAIRL’s three research pillars form a cross-functional council — making decisions together to strengthen collaboration and sharpen Korea’s AI research competitiveness.

Seon Joo Kim

Seon Joo Kim

Yonsei University
Co-Principal Investigator
Seong-Whan Lee

Seong-Whan Lee

Korea University
Co-Principal Investigator
Minsu Cho

Minsu Cho

POSTECH
Co-Principal InvestigatorLead · Physical AI & Robotic Foundation Models
Eunho Yang

Eunho Yang

KAIST
Lead · Beyond Scaling Laws
Jong Chul Ye

Jong Chul Ye

KAIST
Lead · High-dimensional Generative Foundation Models