As a staff research scientist, SangKyeun Kim is working on ML-related real-time plasma control at DIII-D, which explores using machine learning techniques for 3D optimization, ELM suppression, and boundary control. He also uses nonlinear MHD modeling to understand the 3D field effect on plasma transport and instability. He previously worked on MHD stability analysis and kinetic-EFIT reconstruction in KSTAR tokamak. He earned a doctoral degree in fusion plasma physics and a bachelor’s degree in physics from the Seoul National University. He did postdoctoral research at Princeton University.