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Youngjun Choe is an Assistant Professor of Industrial & Systems Engineering at the University of Washington, Seattle. His research centers around developing statistical methods to infer on extreme events (e.g., natural hazard-induced disasters) using empirical and simulated data. He directs the Disaster Data Science Lab. He received his Ph.D. in Industrial & Operations Engineering (concentration: Quality Engineering & Applied Statistics) and M.A. in Statistics from the University of Michigan, Ann Arbor. He holds bachelor’s degrees in Physics and Management Science from KAIST in Korea.