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Dr. Qingchen WANG

Dr. Qingchen WANG

Innovation and Information Management

Assistant Professor

3917 1631
qcwang@hku.hk
KK 805
https://www.qingchenwang.info/
Academic & Professional Qualification
  • Ph.D., University of Amsterdam
  • M.S. INSEAD
  • M.S. University College London
  • B.S. University of British Columbia
Biography

 

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 Kaggle.com.

Teaching

 

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.