The Mathematical Optimization for Decisions Lab (MODL)

MODL (pronounced "model") 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.

The lab is Directed by Sauleh Siddiqui, Assistant Professor of Civil Engineering at Johns Hopkins University

Energy and Food

Explore our research in energy and food systems, including interdependent infrastructures, sustainable policies, and climate markets.


Explore our research in health, including outcomes linked with environmental change, optimizing patient flow and staffing in hospitals, and the clinical trials system.

Computation and Data

Explore our current research projects on computational issues in large-scale optimization, equilibrium, and machine learning.


Recent research publications

We publish in peer-reviewed journals in operations research, energy, healthcare, and optimization and regularly attend academic conferences in these areas.

See all publications
Latest news


Please watch this space for new announcements and job openings.

Job Alert!
Seeking Undergraduate and Masters Research Assistants at JHU for our INFEWS Project