Skip to main content
Back to Faculty Members
Dr. Qingchen WANG

Dr. Qingchen WANG

Innovation and Information Management

Assistant Professor

3917 1631
KK 805
Academic & Professional Qualification
  • Ph.D., University of Amsterdam
  • M.S. University College London
  • B.S. University of British Columbia


Qingchen Wang received his Ph.D. in Data Science and Business Analytics from the University of Amsterdam. Qingchen’s research focuses on the development and application of machine learning and artificial intelligence techniques for solving real-life business problems. Selected research projects include data-driven driven consumer debt collection, pricing of parking reservations, workforce staffing and scheduling, and multi-channel conversion attribution for digital marketing.


Qingchen is also an expert practitioner of machine learning and predictive analytics, having consulted on a number of commercial data science projects, and has earned the title of “Grandmaster” on the international predictive analytics platform



Business Data Analysis (MBA)

Selected Publications


Working Papers


Data-driven Consumer Debt Collection via Machine Learning, with Ruben van de Geer and Sandjai Bhulai


Optimal Contact Center Staffing and Scheduling with Machine Learning, with Siqiao Li and Ger Koole


Multi-channel Conversion Attribution: A Machine Learning Approach, with Piet Pepperkorn and Maarten Soomer


Peer-reviewed Publications


Li, S., Wang, Q., and Koole, G., Predicting Call Center Performance with Machine Learning, Proceedings of the INFORMS International Conference on Service Science, 2018.


Puterman, M. L. and Wang, Q., Optimal Design of the PGA Tour; Relegation and Promotion in Golf, Proceedings of MIT Sloan Sports Analytics Conference, 2011.


Puterman, M. L. and Wang, Q., Optimal Dynamic Clustering Through Relegation and Promotion: How to Design a Competitive Sports League, Quantitative Analysis in Sports, 7, issue 2, Article 7, 2010.