Sauleh Siddiqui
Mathematical Modeling Research for Energy, Food, and Infrastructure systems
Professor of Environmental Science, American University · Former Chief Energy Modeler, U.S. Energy Information Administration
Sauleh Siddiqui develops mathematical models for energy, food, and environmental decision-making that incorporate infrastructure, game theory, markets, and policy. He applies mathematical optimization and operations research to environmental systems, spanning energy infrastructure, food systems, and human health, turning complex technical and policy questions into models that inform real-world decisions on investment, risk, and strategy.
He directs a $15 million National Science Foundation research network on sustainable food systems spanning over 15 universities, 100 researchers, and numerous public and private partners, and previously served as Chief Energy Modeler at the U.S. Energy Information Administration, where he led development of the federal government’s next-generation energy modeling platform. His methods span linear, mixed-integer, conic, and equilibrium programming, applied across markets, infrastructure, and public policy.
Areas of expertise
Optimization & operations research
Linear, mixed-integer, bilevel, and equilibrium models for complex decision and investment problems.
Energy systems
Markets, infrastructure, and the energy systems informed by federal-scale modeling at the U.S. EIA.
Food & agricultural systems
Modeling food systems and wasted food reduction across a 15-university research network.
Infrastructure & policy
Investment under uncertainty, risk analysis, and decision support for institutions and government.