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
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 […]
Covid-19 mortality in US counties
This work follows a healthcare-systems question across multiple waves of COVID-19 in the United States that “as clinical care, variants, vaccination, and hospital strain changed, did the factors linked to […]