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Emily Somerset’s research focuses on developing Bayesian hierarchical models for public health surveillance, with applications in wastewater-based epidemiology, epidemic curve reconstruction, and forecasting hospital admissions. She also studies infectious disease dynamics, employing techniques such as wastewater-based estimation of reproduction rates. Additionally, Emily engages in statistics education research, particularly examining the impact of generative AI on student learning and the effects of flexible assessment structures on student writing engagement.
Department of Sociology