Larry Snyder's research interests are in supply chain management, logistics, transportation, and facility location problems, models for decision-making under uncertainty, applied optimization, integer programming algorithms and heuristics, and energy applications, especially smart grids.

In smart grid research, Snyder's research uses tools from operations research to address a variety of related optimization problems, drawing upon his research expertise in mathematical models for supply chain management. His research on stochastic facility location and multi-echelon inventory optimization problems finds natural analogies in network design and storage optimization problems in smart grids. His group is developing optimization models and algorithms for dispatch and scheduling problems within the grid (both for service providers and for consumers) in order to design or react to demand-response programs, pricing structures, and other pricing signals that service providers use to shape load profiles. Another avenue of research involves location and dispatch of electricity storage devices (e.g., batteries) in the grid in order to level both the supply and the demand of electricity.

Dr. Snyder teaches courses in production and inventory control, quantitative models in supply chain management, advanced inventory theory, and operations research. He serves as co-director of the Center for Value Chain Research at Lehigh. He is a member of Phi Beta Kappa and Sigma Xi. Dr. Snyder has been recipient of IIE Operations Research Track for Best Paper Award and first place honors in the IIE Pritsker Doctoral Dissertation Award.