Miguel Lejeune is a Full Professor (tenured) of Decision Sciences at the George Washington University (GWU). He is the recipient of the CAREER/Young Investigator Research Grant from the Army Research Office and of the IBM Smarter Planet Faculty Innovation Award. His research “MINLP Methods for Chance-Constrained Problems with Endogenous and Exogenous Uncertainty" is currently supported by the Office of Naval Research (ONR). He is an elected board committee member (July 2013 - June 2019) of the Stochastic Programming Society (COSP).
Prior to joining GWU, he was a Visiting Assistant Professor in Operations Research at Carnegie Mellon University and worked as a Credit Risk Manager at FORTIS Bank.
Dr. Lejeune completed his PhD studies at Rutgers University where he also obtained an MBA degree. Additionally, he obtained a DEA in Management (MS degree) from RWTH Aachen, Germany and University of Liege, Belgium, and a Management Sciences Engineering degree from University of Liege.
Miguel Lejeune’s areas of expertise/research interests include Stochastic Optimization, Probabilistic Programming, Financial Risk, Data-Driven Optimization, Supply Chain Management. He has published articles in Operations Research, Management Science, Mathematical Programming, Manufacturing Service & Operations Management, Interfaces, INFORMS Journal of Computing, Journal of Operations Management, IIE Transactions, European Journal of Operational Research, Quantitative Finance, Decision Analysis, Operations Research Letters, Journal of Optimization Theory and Applications, Networks, Annals of Operations Research, Optimization and Engineering, etc.