The Mathematical Optimization for Decisions Lab was established in 2012 by Professor Sauleh Siddiqui at the Department of Civil Engineering at Johns Hopkins University.

Under Professor Siddiqui’s supervision, MODL has been home to graduate researchers, undergraduate students, postdoctoral fellows, and visiting scholars from across the globe.

MODL studies problems at the intersection of society and infrastructure by developing and applying novel mathematical tools to aid decisions in energy, health, and engineering systems. Current areas of focus at MODL include fuel markets and infrastructure, optimizing patient flow and staffing in hospitals, the US clinical trials system, and developing algorithms for multiobjective optimization, bilevel programs, and binary equilibrium. Our team’s approach is to model the inter-reaction between actors in systems faced with multiple, conflicting objectives.

Sauleh Siddiqui


Sauleh Siddiqui is an Assistant Professor of Civil Engineering and Applied Mathematics & Statistics at the Whiting School of Engineering and is Co-Director of the Center for Systems Science & Engineering. He is a Research Fellow at DIW Berlin and Associate Editor for the journal Optimization and Engineering. He received an A.B. in Mathematics and Public Policy from Franklin & Marshall College and a Ph.D. in Applied Mathematics & Statistics, and Scientific Computation from the University of Maryland. [CV, Google Scholar, & Research Gate]

Department of Civil Engineering
Johns Hopkins University
3400 N Charles Street, Baltimore, MD 21218

109 Latrobe Hall
(410) 516 6411



A hallmark of the MODL approach is effective and cross-disciplinary collaboration. Today’s systems problems require teams of diverse experts to tackle in order to achieve robust solutions in a productive fashion. The institutes and organizations MODL is affiliated with are listed here.