Woong Shin (Ph.D.) is an HPC systems engineer in the AI Analytics Methods at Scale (AIMS) Group at Oak Ridge National Laboratory (ORNL). He is involved in research & development activities around designing system software & architecture for HPC systems.
He is currently leading the effort in building operational data analytics systems for HPC data center cooling, focused on providing integrated near real-time insights and responses from high-volume machine data.
Woong started his career as a software engineer in the enterprise area, working for Samsung & TmaxSoft (South Korea) but later pursued academic training in system software, distributed systems, and NVRAM based storage systems. He joined ORNL in 2017.
He received his Ph.D. degree in electrical engineering and computer science (M.S. and Ph.D. integrated course) in 2017 from Seoul National University, South Korea. He earned his B.S. in computer science from Korea University, South Korea.
R&D Activities Contributions
Data Jockey - Data Jockey is a workflow aware data management service that helps users automate the orchestration of data movement and placement across multiple storage tiers in…