Sauleh Siddiqui

Sauleh Siddiqui

Assistant Professor, Departments of Civil and Systems Engineering and Applied Mathematics & Statistics

(410) 516 6411

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Assistant Professor, Departments of Civil and Systems Engineering and Applied Mathematics & Statistics

Research Interests

  • Multilevel and Multiobjective Optimization to Improve Patient Flow and Staffing
  • Simulation of Perioperative Care
  • Predicting Heart Failure Readmission after Discharge
  • Analysis of the Clinical Trials System
  • Predicting Early Discharge from Medical Units
  • Global vaccine development

Sauleh Siddiqui is an Assistant Professor of Civil Engineering with an appointment in Applied Mathematics & Statistics at Johns Hopkins University. He is also a Research Fellow at the and the German Economic Research Institute (DIW Berlin) and Visiting Lecturer at the Technical University of Berlin. He is an Associate Editor of the journal Optimization and Engineering and is currently serving as Chair for the Energy Cluster and Vice Chair for Linear and Conic Optimization for The Institute for Operations Research and Management Science. His research is on formulating and solving optimization and game theory models applicable to large-scale systems. Such systems arise when modeling problems in energy and environmental markets, public health, and healthcare. He also models engineering design and develops novel algorithms along with supporting mathematical theory.

He has received research funding from the World Bank, Johns Hopkins Health System, the Environment Energy Sustainability Health Institute, and the Norwegian Research Council. In addition, he has collaborated on projects with the International Council on Clean Transportation, Institute of Medicine, National Academy of Engineering, and Bikemore. These projects have included modeling energy and climate markets, patient flow and staffing in hospitals, global vaccination strategies, and urban transport networks.

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, College Park.