Dr. Aprahamian's research interests lie in the application of Operations Research methodologies and statistical tools to problems arising in healthcare systems and public policy decision-making. Recently, his work has focused on the development of combinatorial and discrete optimization techniques to obtain optimal risk-based screening policies and effective algorithms for public health screening. Applications of interest include donated blood screening, population-level screening for sexually-transmitted diseases, and newborn screening for genetic mutations.