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.


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.

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Latest news


Please watch this space for new announcements and job openings.

Job Alert!
Seeking Post-Doctoral Fellowship in Optimization of Energy and Food Systems