My current data science research interest lies in the broad area of supply chain and its management. I am particularly interested in using longitudinal data set to identify early signals (or warning) and to draw causal inferences pertaining to supply chain security and product quality and safety. I am also interested in developing experiments to capture the behavioral side of decision makings to be complementary to secondary data analysis. Industry setting wise, I have based my research on the auto industry, and will expand my auto-industry centered research into a broader, transportation industry oriented context. I am also interested in food and agricultural products, pharmaceutical, and medical devices industries where product quality and safety have significant implications to human life and society as a whole.
Amitabh Sinha, PhD, is Associate Professor of Technology and Operations in the University of Michigan Stephen M. Ross School of Business, Ann Arbor, and Co-Director of the Tauber Institute for Global Operations.
Amitabh’s current research primarily focuses on the operational aspects of ecommerce/omnichannel retail. For instance, one of his ongoing research projects explores the optimization of order fulfillment by online retailers; another examines the design of retail stores and inventory management for omnichannel fulfillment through stores. Another recent research project examines the potential impact of platform capitalism (also called the sharing economy) in a business-to-business setting for ecommerce warehousing. The primary methodological tools are optimization, simulation, and machine learning.
Jun Li’s main research interests are empirical operations management and business analytics, with special emphases on revenue management, pricing, consumer behavior, economic and social networks. She has worked extensively with large-scale data, including transactions, pricing, inventory and capacity, consumer online search and click stream data, supply chain relationships and disruptions, clinical and healthcare claims. She is the Winner of INFORMS Revenue Management and Pricing Practice Award for her close collaboration with retailing practitioners in implementing best response pricing algorithms. Her paper on airline pricing and consumer behavior is the finalist for Best Management Science Papers in Operations Management 2012 to 2014. She is also the principal investigator of a National Science Foundation funded project: “Gaining Visibility Into Supply Network Risks Using Large-Scale Textual Analysis”. Her work has enjoyed coverage by The Economist, New York Times and Forbes.