Larry snyder is the Harvey E. Wagner Endowed Chair Professor and Director, Institute for Data, Intelligent Systems, and Computation (I-DISC) at Lehigh University. He received his Ph.D. in Industrial Engineering and Management Sciences from Northwestern University.

Dr. Snyder’s research interests include modeling and solving problems in supply chain management and energy systems, particularly when the problem exhibits significant amounts of uncertainty. His research has been published in such journals as Transportation Science, IEEE Transactions on Smart Grid, Naval Research Logistics, IIE Transactions, and Production and Operations Management and has been funded by NSF, DOE, state agencies, and several major corporations.

He is co-author of the textbook Fundamentals of Supply Chain Theory, published in 2011 by Wiley, which won the IIE/Joint Publishers Book-of-the-Year Award in 2012; a second edition was published in 2019. He has delivered or co-authored over 100 presentations at academic conferences, universities, and companies. He is a founding member of Lehigh’s Integrated Networks for Electricity (INE) research cluster and Power from Oceans, Rivers, and Tides (PORT) lab. He has served on the editorial boards of Transportation Science IISE Transactions, OMEGA, and the Wiley Series on Operations Research and Management Science. He is also a Senior Research Fellow–Optimization for Opex Analytics.

For more information, visit coral.ise.lehigh.edu/larry.

Larry Snyder headshot
Lawrence V. Snyder
Harvey E. Wagner Endowed Chair Professor and Director, Institute for Data, Intelligent Systems, and Computation
lvs2@lehigh.edu
(610) 758-6696
Harold S. Mohler Laboratory
200 West Packer Avenue
Bethlehem, PA 18015
Room 321

Education

Ph.D., Industrial Engineering and Management Sciences, Northwestern University
M.S., Industrial Engineering and Management Sciences, Northwestern University
B.S., Mathematics, Amherst College

Areas of Research

Supply Chain Management, Logistics, Engineering Decision Making, Applied Optimization, Integer Programming Algorithms and Heuristics, Energy Applications