I received a BS in Biochemistry with a minor in Religious Studies from Beloit College in 2022 and an MS in Biostatistics from The University of Pittsburgh in 2024. My thesis work as part of my master’s program involved applied use of machine learning models performed on a group of census-based demographic and religious participation variables to analyze how including faith-related metrics can improve the prediction of vaccine hesitancy in a multivariate, socially grounded model. As a T32 trainee, I hope to utilize my background in biostatistics to research the current and standardized methods of assessing cardiovascular health and aging, including pulse wave velocity and carotid arterial wall thickness.
News