Linwei Xin is an assistant professor of Operations Management at the University of Chicago Booth School of Business. His primary research is on inventory and supply chain management: designing models and algorithms for organizations to effectively "match supply to demand" in various contexts with uncertainty. His research using asymptotic analysis to study stochastic inventory theory has been recognized with several INFORMS paper competition awards, including the Applied Probability Society Best Publication Award (2019), First Place in the George E. Nicholson Student Paper Competition (2015), Second Place in the Junior Faculty Interest Group Paper Competition (2015), and a finalist in the Manufacturing and Service Operations Management Student Paper Competition (2014). His work with JD.com on dispatching algorithms for robots in intelligent warehouses was recognized as a finalist for the INFORMS 2021 Franz Edelman Award, with an estimate of billions of dollars in savings. His research motivated by Walmart online grocery's recommendation-at-checkout-system received the 2017 CSAMSE (Chinese Scholars Association for Management Science and Engineering) Best Paper Award. His research with Argonne National Lab on dynamic line rating received the 2020 IEEE Transactions on Power Systems Best Paper Award. His other honors include winning a National Science Foundation grant as a principal investigator. His research has been published in journals such as Operations Research and Management Science.
Before joining Booth in 2017, Xin was a faculty member at the University of Illinois at Urbana-Champaign where he was on the List of Teachers Ranked as Excellent by Their Students. He also worked for Walmart Labs as a data scientist intern in 2015 and IBM Research as a research intern in 2013.
Xin earned a PhD in operations research from the Georgia Institute of Technology’s H. Milton Stewart School of Industrial and Systems Engineering in 2015 and a bachelor’s degree in mathematics from Zhejiang University in 2008. He also pursued PhD studies in mathematics at Georgia Tech prior to his operations research studies.