Her research has been published in Management Science and Harvard Business Review and was given extensive coverage in media outlets including the Wall Street Journal, Bloomberg Businessweek, American Enterprise Institute, Foundation for Economic Education, the Cato Institute, the Tennessee Star, KCBS News Radio San Francisco, and INFORMS Resoundingly Human Podcast. Her research was recognized with multiple awards and grants. She teaches Revenue Management and Data Analytics for Business at Georgia Tech, and was recognized by the Student Recognition of Excellence in Teaching Award.
Qiuping YuAssociate Professor
Qiuping Yu is an Associate Professor of Operations Management and Business Analytics at the Scheller College of Business, Georgia Institute of Technology. She conducts research on data-driven service operations with a focus on digital service design (e.g., design of virtual queues), workforce analytics (e.g., labor scheduling and fairness issues), and management of large-scale service networks. Besides applying various state-of-art empirical and analytical methods, she also develops frameworks that combine techniques from both casual inference and machine learning. Her research utilizes large and highly granular proprietary data from a variety of firms in the service and retail industries. She has worked with major ridesharing platforms, restaurants, call centers, freight matching platforms, and fashion retailers both in the US and in other countries.