MOSTLY OM 2018 WORKSHOP

Jun 1 - 2, Tsinghua University, Beijng, China

Speaker Information

Santiago Balseiro

Columbia University

Professor Balseiro's primary research interests are in the area of dynamic optimization, stochastic systems and game theory with applications in revenue management and internet advertising. His recent work studies the design and operation of display advertising exchanges. His research has been recognized by the 2014 George B. Dantzig Dissertation Award, an honorable mention in the 2014 George Nicholson Student Paper Competition, the 2015 Google Faculty Research Award, the 2012 Networks, Electronic Commerce and Telecommunications Institute Summer Grant, the 2011 Deming Doctoral Fellowship, and the 2010 Google Engineering Scholarship.

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Jing Dong

Columbia University

Professor Dong's primary research interests are in applied probability and stochastic simulation, with an emphasis on applications in service operations management. Her current research focuses on developing data-driven stochastic modeling to improve patient flow in hospitals.

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Yonatan Gur

Stanford University

Yonatan Gur is an Assistant Professor of Operations, Information and Technology at Stanford University’s Graduate School of Business. Prior to joining Stanford in 2014 he received his PhD in Decision, Risk, and Operations from Columbia Business School. He also holds a B.Sc. degree from the School of Physics and Astronomy and an M.Sc. from the School of Mathematical Sciences, Tel Aviv University.

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Ming Hu

University of Toronto

Professor Hu's research explores strategic interactions among firms and between firms and consumers, in the context of revenue management, supply chain management and service operations management. Most recently, he focuses on operations management in the context of sharing economy, social buying, crowdfunding, crowdsourcing, and two-sided markets, with the goal to exploit operational decisions to the benefit of the society. His research has been featured in media such as Financial Times.

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Macro Scarsini

Libera Università Internazionale degli Studi Sociali

Professor Scarsini's main research areas are applied probability and game theory, with a particular focus on congestion games and social learning.

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Cong Shi

University of Michigan

Professor Shi’s research is focused on the design of efficient algorithms with theoretical performance guarantees for stochastic optimization models in operations management. Main areas of applications include inventory control, supply chain management, revenue management, and service operations.

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David Simchi-Levi

Massachusetts Institute of Technology

Professor Simchi-Levi's research focuses on developing and implementing robust and efficient techniques for operations management. He has published widely in professional journals on both practical and theoretical aspects of supply chain and revenue management.

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Mengdi Wang

Princeton University

Professor Wang is interested in data-driven stochastic optimization and applications in machine and reinforcement learning.

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Tong Wang

National University of Singapore

Professor Wang studies Supply Chain Management, Inventory Management, Revenue Management, Business Analytics, Bayesian Learning, Value of Information.

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Yao Xie

Georgia Tech

Professor Xie's research interests are in sequential statistical methods, statistical signal processing, big data analysis, compressed sensing, optimization, and has been involved in applications to wireless communications, sensor networks, medical and astronomical imaging.

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Assaf Zeevi

Columbia University

Professor Zeevi's research focuses on the formulation and analysis of mathematical models of complex systems, with particular research and teaching interests that lie in the intersection of Operations Research, Statistics, Computer Science and Economics. Recent application areas have been motivated by problems in healthcare analytics, dynamic pricing, recommendation engines and personalization, and the valuation and monetization of digital goods.

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Dan Zhang

University of Colorado Boulder

Professor Zhang’s primary research interest is data-driven decision making with applications to pricing and revenue management, supply chain management, and healthcare operations.

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