I design simple, implementable solutions that remain effective when data are scarce, noisy, or shifting. Methodologically, I use robust and stochastic optimization and game theory to (i) develop practical pricing and selling strategies that maximize revenue under limited or uncertain market information, and (ii) create cost-effective, reliable network structures and resource-allocation policies for supply chains and service systems that achieve near-optimal performance (e.g., higher profit, lower wait costs, and compliance with service-level agreements).

Publications

Working Papers