Welcome to my website. I am an assistant professor of Operations Management and Business Analytics at the Scheller College of Business, Georgia Institute of Technology. I conduct 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 (e.g., structural estimation and other causal inference methods, machine learning, stochastic dynamic programing, and game theory), I also develop frameworks that combine techniques from both causal inference and machine learning. My research utilizes large and highly granular proprietary data from a variety of firms in the service and retail industries. I have worked with major ridesharing platforms, restaurants chains, call centers, freight matching platforms, and fashion retailers both in the US and in other countries.
My 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. My research was recognized with multiple awards and grants. I teach Revenue Management and Data Analytics for Business at Georgia Tech, and was recognized by the Student Recognition of Excellence in Teaching Award.
I have a PhD in Operations Research and M.A. in Economics from Northwestern University. I did my undergraduate in Mathematics and Physics at the Hong Kong University of Science and Technology (HKUST). Before I joined Scheller, I was an Assistant Professor at the Kelley School of Business, Indiana University. This is my CV.
800 West Peachtree NW, Atlanta, GA 30308
Email: qiuping.yu [at] scheller [dot] gatech [dot] edu