Woong Shin, Ph.D. is a Research Scientist at Oak Ridge National Laboratory, working on agentic AI systems for scientific discovery and intelligent infrastructure for high-performance computing. His current focus includes AI-based systems and workflows for research automation and AI/ML-driven methods for operating exascale supercomputers like Frontier.
He holds a Ph.D. in Electrical Engineering and Computer Science from Seoul National University. His work has been recognized with Best Paper at SC21 for HPC energy efficiency research, an R&D 100 Award for the ExaDigiT digital twin framework, and Distinguished Paper at the WORKS workshop (SC25) for research on scientific workflows in the agentic AI era.
Ph.D., Electrical Engineering and Computer Science (MA & Ph.D. integrated)
Seoul National University
B.Sc., Computer Science
Korea University
My research focuses on making scientific computing more intelligent and more efficient.
The current thread is agentic AI for scientific discovery. I build AI-based systems and workflows that assist researchers, automate parts of the scientific process, and eventually enable autonomous experimentation. This builds on my work at Oak Ridge National Laboratory, where I develop intelligent systems for operating exascale supercomputers like Frontier.
Earlier work addressed HPC energy efficiency, storage systems, and operational data analytics. A common theme runs through it all: taking large, complex systems and making them work better through careful engineering and applied AI.
I collaborate with domain scientists, HPC facilities worldwide, and industry partners to translate research into working systems.
Peer reviewed publications
Technical program committee roles
Invited talks and presentations
Community recognitions
Invited talks, panels, and presentations
Operational Data Analytics Team, General member