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Chang-Han Rhee is an Associate Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University. He specializes in computational mathematics and its applications in probability, simulation, and design methodologies. He earned his Ph.D. and M.S. degrees in Computational Mathematical Engineering from Stanford University and holds a B.Sc. in Mathematics and Computer Science from Seoul National University. His research interests encompass Applied Theoretical Probability, Stochastic Simulation, Experimental Design, and Machine Learning Theory. Rhee has published several influential papers, focusing on sample-path large deviations, heavy-tailed processes, and queueing systems, contributing to advancements in both theory and practical applications. His work is recognized for integrating complex mathematical concepts into real-world applications, enhancing the understanding of stochastic systems.
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