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Nan Kong is a Professor in the Edwardson School of Industrial Engineering at Purdue University. He holds joint appointments in Biomedical Engineering. He has an extensive academic background, with a PhD in Industrial Engineering from the University of Pittsburgh, a Master’s degree in Operations Research from Cornell University, and a Bachelor’s degree in Automation from Tsinghua University. His research focuses on production systems, with particular expertise in stochastic integer programming and Markov decision processes. He applies his knowledge to global optimization and uncertainty in system design, resource allocation, and workforce scheduling, especially in healthcare supply chain applications. His work includes computational modeling and optimization in disease prevention and control, as well as analyzing electronic health records and insurance claims data.
GRE is not required.