Awarded By:
INFORMS
Award Description:
PhD student Matias Romero (co-advised) was selected as a Finalist in the INFORMS TSL Data-Driven Research Challenge at INFORMS 2025, for the paper "Potential-Based Greedy Matching for Dynamic Delivery Pooling." This is an award for papers written that make use of a real-world dataset about courier deliveries made on the food delivery platform Meituan.
