Recent disease outbreaks (e.g., Covid-19) have highlighted the need for enhanced analysis and modeling of disease spread to better inform public policy on effective mitigation measures. In early work, I leveraged the new risk assessment metrics (developed using my unifying abstraction for infinite-dimensional optimization) to plan optimal isolation policies that effectively limit contagion spread with minimal economic impact. Currently, I am working with Prof. Carl Laird at Carnegie Mellon University (CMU) and others on developing rigorous analysis methods to characterize the dynamic transmission rates of Covid-19 based on historical case data. Here, we seek efficient mathematical approaches to estimate the impact of mitigation policies (e.g., mask mandates and school closures) on controlling transmission rates.


University of Waterloo
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