Curriculum Vitae

Scientist (Staff)

Facility for Rare Isotope Beams (FRIB), Michigan State University

High Power Targetry Team

• Developed BiSTO (Binary Surrogate-based Topology Optimization), an AI-driven framework combining surrogate-guided topology search, solver verification, and geometric connectivity constraints for turbulent cooling-channel design.
• Optimized the FRIB beam dump using genetic algorithms and reinforcement learning, increasing simulated average power-handling capability by 72% over the existing design.
• Developed a CNN–MLP surrogate for rotating beam-dump thermal limits (2.8% mean error against FEM in cross-validation; millisecond-scale inference).
• Led thermal design reviews and provided simulation evidence for device qualification; performed thermal-fluid-electromagnetic analysis and validation.

Postdoctoral Researcher

Korea Atomic Energy Research Institute (KAERI)

Applied Artificial Intelligence Lab

• Developed DRL optimization with 14.8% higher simulated heat transfer than conventional topology optimization; tested a metal-printed prototype.
• Designed flow channels for Samsung OLED susceptors using reinforcement learning.
• Designed a single-body, 3D-printable DC electromagnetic pump with 52% lower simulated current demand than a helical pump at matched pressure and flow rate.
• Applied AI anomaly detection to the KOMAC accelerator for operational stability.

Ph.D. in Nuclear Engineering (Combined M.S./Ph.D.)

Ulsan National Institute of Science and Technology (UNIST)

B.S. in Nuclear Engineering & Mechanical Engineering

Ulsan National Institute of Science and Technology (UNIST)