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Brings enthusiasm and expertise to class.
Chen Chen is Assistant Professor of Operations and Business Analytics at New York University Shanghai. He received his Ph.D. in Decision Sciences from the Fuqua School of Business, Duke University in 2020, following a Master's in Electrical Engineering from the University of Pennsylvania (2014-2015) and a B.E. in Electrical Engineering from Beihang University (2010-2014). From 2020 to 2022, he was a Postdoctoral Researcher in Operations Management at the University of Chicago Booth School of Business. He also held a Data Scientist internship at Uber in the summer of 2019. Chen's career is marked by his focus on Business & Economics, particularly in operations research applied to modern marketplaces.
Chen's research specializes in the design and analysis of mechanisms and algorithms for improving operations in marketplaces and general service systems. Key areas include algorithmic pricing, revenue management, dynamic optimization, stochastic approximation methods, and resource allocation in uncertain environments with strategic agents. His publications in premier journals demonstrate significant impact: "Incentivizing Resource Pooling" with Yilun Chen and Pengyu Qian (Management Science, to appear, 2024); "Correlated Cluster-Based Randomized Experiments: Robust Variance Minimization" with Ozan Candogan and Rad Niazadeh (Management Science, vol. 70, no. 6, 2024); "Dynamic Pricing of Relocating Resources in Large Networks" with Santiago R. Balseiro and David B. Brown (Management Science, vol. 67, no. 7, 2021); "Static Routing in Stochastic Scheduling: Performance Guarantees and Asymptotic Optimality" with Balseiro and Brown (Operations Research, vol. 66, no. 6, 2018). Currently, his papers "Optimal Incentive Design for Decentralized Dynamic Matching Markets" (with Pengyu Qian and Jingwei Zhang) and "Optimality of Public Persuasion for Single-Good Allocation" (with Xuyuanda Qi) are under revision at Management Science and Operations Research, respectively. Chen has garnered top awards, including first place in the 2024 INFORMS JFIG Paper Competition, 2024 CSAMSE Best Paper Award, and the 2019 inaugural INFORMS RMP Jeff McGill Student Paper Prize. Other honors include Duke Ph.D. Fellowship (2015-2020), Microsoft Research Asia Young Fellowship (2013), and three National Scholarships of China (2011-2013).
