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


Explore our research in energy, with extensive work on fuel infrastructure, electricity systems, and climate markets.


Explore our research in health, focused on optimizing patient flow and staffing in hospitals and the clinical trials system.

Applied Computation

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