Research

My research examines dynamic decision-making and resource allocation: how operational decisions should be made when actions taken today change the state of the system and therefore affect future opportunities, constraints, and outcomes.

Research Areas

Online Platforms and the Sharing Economy

I study operational decisions in platforms and marketplaces, including recommendation systems, matching, resource allocation, and the management of shared resources. An important theme in this work is understanding the long-term effects of decisions that may appear attractive in the short run.

Workforce and Hybrid Work

I study how organizations should coordinate workers across locations and over time. These problems involve interactions between collaboration benefits, congestion, employee heterogeneity, scheduling requirements, and the structure of workplace networks.

Service and Healthcare Operations

I am interested in resource allocation, capacity planning, scheduling, and decision-making in service systems, particularly when decisions must be made under uncertainty or with limited information. I am also interested in how data and AI can support operational decision-making in healthcare.

Supply Chains, Logistics, and Networks

I study dynamic allocation and repositioning problems in networked systems, including transportation, logistics, and sharing-economy applications. These problems often require balancing immediate demand with the future value of resources across locations.

Fairness and Diversity

In several settings, I study how objectives such as fairness and diversity interact with traditional operational objectives. I am particularly interested in when incorporating these considerations can improve the long-run performance of a system rather than simply acting as an additional constraint.

Methods

My research primarily uses optimization, dynamic programming, Markov decision processes, network models, and fluid approximations, complemented by simulation and data analysis.

I am also exploring the use of AI agents as a research methodology for studying heterogeneous, adaptive, and information-sharing behaviour in operational systems.

Industry Collaboration

I am interested in collaborating with organizations facing operational problems in areas such as resource allocation, capacity planning, workforce scheduling, healthcare operations, service delivery, marketplaces, supply chains, logistics, and network optimization.

I am especially interested in problems where we can begin with an operational challenge and determine the appropriate combination of modeling, optimization, simulation, AI, and data analysis needed to study it.