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Our research involves the use of computational tools to model, simulate, visualize and, in general, understand the spread of disease. Our goal is to inform public and hospital policy decisions with respect to disease surveillance, disease prevention measures, and outbreak containment.


Support for our research is provided by the Centers for Disease Control and Prevention MInD HealthcareNetwork (Awards U01CK000531 and U01CK000594 with respective Covid19 supplements) and a National Institutes of Health Clinical Translational Science Award (U54TR001356).