Kilean Hwang is an accelerator physicist with a decade of experience applying machine learning to beam dynamics and accelerator operations, currently working at the Facility for Rare Isotope Beams in Michigan. He combines deep academic training—a PhD in Accelerator Physics from Indiana University—with hands-on roles from postdoctoral research at Berkeley Lab to research at Indiana University Cyclotron Facility. Kilean focuses on translating advanced computational methods into practical tools for control and optimization of complex accelerator systems. His background in nonlinear kinematics and fringe field mapping gives him a rare mix of theoretical rigor and experimental acumen. Based in the U.S., he bridges physics research and ML engineering to accelerate discovery in rare isotope facilities.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Accelerator Physics, Doctor of Philosophy - PhD, Accelerator Physics at Indiana University Bloomington
Bachelor's degree, Physics, Bachelor's degree, Physics at Chung-Ang University
Master's degree, Physics, Master's degree, Physics at Korea Advanced Institute of Science and Technology
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