Corrine F. Elliott graduated from the University of Kentucky (UK) in 2018 with a B.S. in Mathematics and an M.S. in Statistics. During her tenure at UK, she worked on a variety of research projects across Computational and Organic Chemistry (design & synthesis of electroactive molecules for use in lithium-ion batteries); Bioinformatics (unsupervised analysis of protein structural sequences); and Statistics (model selection & validation in Ecology, Medicine, and Public Policy). She then worked for a year with Berry Consultants, a statistical consulting company specializing in the design of adaptive clinical trials, before entering into the Statistics doctoral program at UC Berkeley. Her research interests lie broadly at the intersection of Statistics and the natural sciences, and specifically entail the use of computational and/or applied Statistics to support biomedical applications.