Kibaek Kim is a Computational Mathematician at Argonne National Laboratory, where he conducts research in numerical optimization, distributed computing, and federated learning. He holds a Ph.D. in Industrial Engineering and Management Sciences from Northwestern University. His work focuses on developing scalable algorithms and software for large-scale optimization problems, with applications spanning energy systems, machine learning, and scientific computing. Dr. Kim has contributed to open-source solver development and collaborative computing frameworks, and he actively collaborates with partners across national labs, academia, and industry.