Projects

Accurate estimation of order fulfillment time is critical for e-commerce logistics, yet traditional rulebased approaches often fail to capture the inherent uncertainties in delivery operations. This paper introduces a novel framework for distributional forecasting of order fulfillment time, leveraging Conformal Predictive Systems and Cross Venn-Abers Predictors—model-agnostic techniques that provide rigorous coverage or validity guarantees.

The paper studies a large-scale order fulfillment problem for a leading e-commerce company in the United States. The challenge involves selecting fulfillment centers and shipping carriers with observational data only to efficiently process orders from a vast network of physical stores and warehouses.

Optimizing service schedules is pivotal to the reliable, efficient, and inclusive on-demand mobility. This pressing challenge is further exacerbated by the increasing needs of an aging population, the oversubscription of existing services, and the lack of effective solution methods.

This paper presents an integer programming framework designed to effectively address the complex final exam scheduling challenges encountered at Cornell University. With a high degree of flexibility, the framework is specifically tailored to accommodate diverse constraints, including the front-loading of large courses and the exclusion of specific time slots during the exam period.

SimOpt is a testbed of simulation-optimization algorithms. I was responsible for coding up test problems, such as a COVID-19 testing frequency problem and a emergency medical volunteer response problem, and implementing algorithms, such as STRONG and ADAM.

A taxi routing problem can be solved via bipartite matching, where a maximum cardinality matching corresponds to the minimum number of …

Transitions to electric vehicles (EV) are expected to increase electricity use in residences, where most tend to recharge. We develop a mathematical programming framework for shifting residential EV charging during low electricity pricing hours to minimize the additional electricity costs that a household incurs from charging their vehicle.