My research broadly focuses on the development of optimization methodologies to solve challenging business problems. I mostly work with industry partners to solve large-scale business problems that are unstructured and highly uncertain.
Below is a list of my research in progress and publications:
Research in Progress
Vehicle Routing with Home Delivery Predictors
Optimizing Long-term Job Matching for an Online Marketplace
Dynamic Optimization of Email Promotional Campaigns
Optimal Contact Center Staffing and Scheduling
Recombining Customer Journeys with Probabilistic Device Matching
Multi-channel Conversion Attribution
Consumer Debt Collection
Pricing of Advanced Reservations for Parking Spaces
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.