MSSCA Faculty
MS in Supply Chain Analytics Faculty
Meet our award-winning faculty, recognized for their innovative teaching approaches and their cutting-edge research in top academic journals.
Associate ProfessorÌý
STRATEGY, ENTREPRENEURSHIP AND OPERATIONS
Sentao Miao is an Assistant Professor of Operations Management in Leeds School of Business at Âé¶¹Ãâ·Ñ°æÏÂÔØ. Previously, he was an Assistant Professor in Bensadoun School of Retail Management & Desautels Faculty of Management at McGill University. His research interests are mainly in developing efficient learning and optimization algorithms with various applications in Operations Management. For methodologies, Sentao Miao focuses on statistical and machine learning algorithms such as online learning, multi-arm bandit problem, reinforcement learning; he is also interested in approximation algorithms with provable performance. For applications, he mainly works on operations management problems such as dynamic pricing, assortment selection, inventory control, etc. Sentao Miao obtained his PhD degree in Department of Industrial and Operations Engineering at University of Michigan. Link toÌýbio.
Assistant Professor
STRATEGY, ENTREPRENEURSHIP AND OPERATIONS
Gloria Urrea is an Assistant Professor of Operations Management in the Strategy, Entrepreneurship and Operations Management (SEO) Department at the Leeds School of Business. Gloria studies operations of humanitarian organizations (HOs), whose mission is to alleviate human suffering and improve the quality of life of the most vulnerable population. Her research focuses on three main questions. First, how HOs can make their operations more efficient. Second, how HOs can access and manage the required donations to perform their work. Third, how HOs can leverage emerging technologies such as crowdfunding and online volunteering platforms to raise the monetary and time donations needed to deliver aid to those in need. To answer these questions, Gloria uses empirical methods, such as econometric analysis and behavioral experiments. Link toÌýbio.
Assistant Professor and Kala and Shiv Khatri Endowed Faculty Scholar
STRATEGY, ENTREPRENEURSHIP AND OPERATIONS
Huanan Zhang is an Assistant Professor in the SEO division. Before joining Leeds, he was an Assistant Professor in the Department of Industrial and Manufacturing Engineering at Penn State University. He received his Ph.D. in Industrial and Operation Engineering at the University of Michigan in 2017. Huanan’s research interests include the design of data-driven algorithms, approximation algorithms, and their applications in inventory and supply chain management, revenue management, and service operations. His research has been published in leading Operations Management journals like Management Science, Operations Research, Manufacturing & Service Operations Management, and Production & Operations Management. Huanan also serves as a senior editor for Production & Operations Management. Link toÌýbio.
Associate Professor and Faculty Director of MS in Business Analytics and MS in Supply Chain Analytics
STRATEGY, ENTREPRENEURSHIP AND OPERATIONS
Rui Zhang is an associate professor in the Strategy, Entrepreneurship, and Operations division at Leeds School of Business, Âé¶¹Ãâ·Ñ°æÏÂÔØ. He is the Faculty Director of the Master’s Program in Business Analytics. Before that, he served as the Director of the Ph.D. Program in Operations. Furthermore, he serves as Associate Editor forÌýINFORMS Journal on ComputingÌýandÌýNetworks. His research interests are quantitative methods, especially prescriptive analytics techniques. His work focuses on revenue management problems, last-mile delivery, and influence maximization problems on social networks. His work has been published inÌýOperations Research, Manufacturing & Service Operations Management, INFORMS Journal on Computing, INFORMS Journal on Optimization, Naval Research Logistics, European Journal of Operational Research, andÌýNetworks, among others. In addition, he has won several Best Paper awards. A collection of his work was selected as the runner-up for the 2022 INFORMS Computing Society (ICS) Prize.Link toÌýbio.
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