Inverse Optimization for Utility Functions
Many real decisions are shaped by an optimization problem that nobody has fully written down. The constraints may come from expert rules, safety limits, or clinical guidelines, while the objective […]
Fardin Ganjkhanloo
Research Scientist, SPH
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About Fardin Ganjkhanloo
Fardin Ganjkhanloo is an alumnus of the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, where he earned his Ph.D. in Systems Engineering under Dr. Kimia Ghobadi in February 2025. He is currently a Healthcare Policy Modeler at the Johns Hopkins Center for Health Systems and Policy Modeling (CHSPM).
Fardin’s current work centers on structural and microsimulation models of U.S. healthcare delivery, with emphasis on supply-side incentives and payment reform. His professional interests are broadly in quantitative, data-informed approaches to improving healthcare systems, and he is passionate about translating rigorous modeling into scalable reforms that enhance efficiency and patient outcomes.
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Research Projects
Optimizing Capacity Management Decisions for Healthcare Systems Under Stress
Healthcare systems face increasing pressure from demand surges caused by pandemics, natural disasters, and seasonal illnesses. When hospitals operate near capacity, patient outcomes often deteriorate and staff burnout increases; however, […]
Patient Mobility and Falls Risk Assessment Tools
This project utilizes data-drive optimization and machine learning methods to improve the quality of inpatient fall risk assessment and decision-making. Our team has developed novel optimization models to increase the […]
