Emma J. Stinson is a Statistician at the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) in Phoenix, Arizona, and is currently pursuing a PhD in Biomedical Informatics and Data Science at Arizona State University. Her research focuses on the development and application of statistical and data-driven methods to study metabolic health, with an emphasis on energy intake and energy expenditure. She is the lead author of a recent Journal of Nutrition publication from the CALERIE study using machine learning to identify determinants of habitual preformed water intake. Her findings showed that data-driven machine learning models can identify novel dietary and physiological factors associated with habitual preformed water intake, relationships that may be missed using traditional statistical approaches, contributing to a deeper understanding of hydration and metabolic health.