Curriculum Vitae
Employment
Employment
- 2019 Assistant Professor in Innovation and Information Management, The University of Hong Kong, Hong Kong S.A.R.
Education
Education
- 2019 Ph.D. in Data Science and Business Analytics, University of Amsterdam, Amsterdam, Netherlands
- 2015 M.S. in Management, INSEAD, Fontainebleau, France
- 2012 M.S. in Machine Learning, University College London, London, United Kingdom
- 2011 B.S. in Computer Science and Biology, University of British Columbia, Vancouver, Canada
Research and Teaching Interests
Research and Teaching Interests
- Research: Data-driven prescriptive analytics, online labor markets, healthcare informatics
- Teaching: Data analytics, predictive analytics, applied machine learning
Working Papers
Working Papers
- Data-driven Consumer Debt Collection via Machine Learning, with Ruben van de Geer and Sandjai Bhulai
- Multi-channel Conversion Attribution: A Machine Learning Approach, with Piet Peeperkorn and Maarten Soomer
- Predicting Call Center Performance with Machine Learning, with Siqiao Li and Ger Koole
Research in Progress
Research in Progress
- Hiring in online labor markets: The role of job-specific experience, with Ashish Kabra
- What if you don’t surge price? The case of non-Uber like marketplaces, with Ashish Kabra
- A prescriptive approach to improve home delivery success, with Stanley Lim
- Robust recommender systems under cookie churn and cross-device browsing behavior
- Cardiovascular disease prediction via machine learning
- Pricing of reservations using machine learning
Other Peer-reviewed Publications
Other 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.
Teaching Experience
Teaching Experience
- University of Hong Kong:
- Business Data Analysis (MBA), Instructor, 2019-2020
- Vrije University Amsterdam:
- Project Big Data (BS in Business Analytics), Instructor, 2019
- Research Seminar in Business Analytics (MS in Business Analytics), Instructor, 2019
- Data Wrangling (MS in Business Analytics), Instructor, 2019
- Advanced Machine Learning (MS in Business Analytics), Teaching Assistant, 2018
- Master Thesis Supervision (MS in Business Analytics), 2018 & 2019
- University of Amsterdam:
- Master Thesis Supervision (MBA in Big Data Analytics), 2017 & 2018 & 2019
- System Optimization (MBA in Big Data Analytics), Teaching Assistant, 2016 & 2017
- Statistics, Simulation, and Optimization (MS in Data Science), Teaching Assistant, 2017
Honors and Awards
Honors and Awards
- Kaggle Grandmaster (only 122 worldwide out of 2,000,000+ people), 2016 - present
- First place winner: Data Science Challenge Growing Instability competition, £20,000 prize, 2017
- Second place winner: Home Depot Product Search Relevance competition, $12,000 prize, 2016
- First place winner: Liberty Mutual Group Property Inspection Prediction competition, $12,000 prize, 2015
- Second place winner: Yelp! Keeping It Fresh Restaurant Inspection Prediction competition, $1,000 prize 2015
- INSEAD Ph.D. Scholarship, 2013 - 2014
Professional Experience
Professional Experience
- Data Scientist, ORTEC B.V., Amsterdam, Netherlands, 2015 - 2018
- Led the research and development of multiple data science products internally and externally
Personal Information
Personal Information
- Citizenship: Canada
- Programming skills: Python, R, Matlab, Java, C++, C#, Haskell, Prolog
- Languages: English (Native), Mandarin (Fluent)