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Public Health COVID-19 We developed and manage an interactive dashboard mapping the COVID-19 pandemic in real-time, and have conducted various modeling studies to aid public health policy makers in their decision making. This work is sponsored by NSF, NIH, NASA and JHU. COVID-19 Blog Measles Our work on measles focuses on the development of a

Healthcare Operations COVID-19 Hospital Capacity Management using Mathematical Models We use mathematical optimization to determine optimal strategies to reduce the burden of COVID-19 on hospitals. In particular, we focus on patient transfers. In practice, hospitals, even those in the same region or system, experience very different COVID patient loads, meaning that some may have unused

Diet Problem The diet recommendation problem is defined as the problem of determining an optimal intake of different food types satisfying some constraints on the nutrients while maximizing the preferences of an individual. In the inverse optimization setting of his problem, the preferences are inferred using a known pattern of the observed diet of the

Inverse Optimization and Inference models Diet problem data resources The diet recommendation problem is to determine the optimal intake of different food types satisfying some constraints on the nutrients while maximizing the preferences of an individual. In the inverse optimization setting of his problem, the preferences are inferred using a known pattern of the observed

Medical Decision-Making​ CONTINUOUS DOSE DELIVERY FOR STEREOTACTIC RADIATION THERAPY​ Stereotactic radiation therapy is conventionally delivered in a step-and-shoot manner, i.e., a shot is delivered when the target volume is stationary, and no radiation is delivered when the patient position is moved. We explore the possibility of delivering radiation therapy as the patient is moved to