Miguel Lejeune is a Full Professor of Decision Sciences (GWSB) and of Electrical and Computer Engineering (SEAS) at the George Washington University (GWU). He is the recipient of the 2019 Koopman Award of the INFORMS Society, the 2020 Dean’s Best Senior Faculty Research Award (George Washington School of Business), a CAREER/Young Investigator Research Grant from the Army Research Office, and the IBM Smarter Planet Faculty Innovation Award. He was an elected board committee member (July 2013 - June 2019) of the Stochastic Programming Society (COSP).
His research on “MINLP Methods for Chance-Constrained Problems with Endogenous and Exogenous Uncertainty" is supported by the Office of Naval Research (ONR).
His research on “Foundations for Improving Resilience in the Energy Sector against Wildfire" is supported by the National Scince Foundation (NSF).
His research has also the support of the Duke Energy Innovation Fund, the GW Cross-Disciplinary Research Fund, and the GW University Facilitating Fund.
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. He hold visiting positions at Carnegie Mellon University, Georgetown University, the University of California – Irvine, and the Foundation Getulio Vargas in Rio de Janeiro.
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.