Curriculum Vitae

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2019 Assistant Professor in Innovation and Information Management, The University of Hong Kong, Hong Kong S.A.R.

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

Data-driven Consumer Debt Collection via Machine Learning and Approximate Dynamic Programming, with Ruben van de Geer and Sandjai Bhulai
- SSRN link: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3250755
Predicting Call Center Performance with Machine Learning, with Siqiao Li and Ger Koole
- Paper link: https://drive.google.com/open?id=1Ue2MjxHWmvyyXcMlnqKGA4NOOoDcnW9A
Multi-channel Conversion Attribution: A Machine Learning Approach, with Piet Pepperkorn and Maarten Soomer
Revenue Management for Parking with Advanced Reservations, with Ruben van de Geer and Arnoud den Boer

Optimizing Long-term Job Matching for an Online Marketplace, with Ashish Kabra
Dynamic Optimization of Email Promotional Campaigns
Social Media Bot Detection with Machine Learning, with Juan Echeverria
Improving Display Advertising with Predictive Device Matching, with Taco Wijnsma

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.

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

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