Levi DeValve’s research lies at the intersection of operations management and optimization. He is particularly interested in using optimization to make better decisions in complex operational contexts, including real-time demand fulfillment in online retail, inventory management in assemble-to-order systems, matching supply and demand in network environments, and pricing digital services on platforms. His research uses a variety of optimization techniques to find good policies in these contexts that can reduce costs and increase efficiency of the supply chain. Industrial collaboration keeps DeValve’s research focused on the practice of operations management, and he brings to his research the perspective of years of consulting experience before his academic career.
DeValve’s research has been recognized in a number of competitions, including as a finalist in the 2019 M&SOM Practice-Based Research Competition and the 2018 IBM Service Science Section Best Student Paper Award. He earned his PhD in Decision Sciences from Duke University's Fuqua School of Business and received a BS (summa cum laude) in mathematics from the University of Connecticut. Prior to pursuing his PhD, DeValve gained valuable experience as a consultant with ZS Associates, where he leveraged large data sets to provide clients with strategic insight for a wide range of operational decisions.