We study healthcare scheduling across the patient care pathway, from surgery to post-discharge home care. The first project focuses on operating room scheduling with ward inpatient capacity constraints. Elective surgery […]
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 […]
This project tackles a practical bottleneck in radiation therapy planning: even with modern planning software, clinicians often have to “tune” dose-volume limits for tumors and nearby organs through repeated trial-and-error, […]
This project develops a preference-aware inverse optimization + clustering framework for precision nutrition, aimed at producing diet recommendations that jointly reflect (i) expert dietary constraints (e.g., DASH-style nutrient limits) and […]
The project is a collaborative, interdisciplinary effort conducted by a group of researchers at Johns Hopkins University who are tracking and modeling the risk of measles in the U.S. It reflects contributions […]
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 […]