Agata Foryciarz is a Ph.D. student in computer science. Her research interests are centered around the relationship between statistical properties of machine learning models used in clinical decision support, and their implications for health equity. Her current project explores the implications of applying algorithmic “fairness” approaches to derive models that estimate the risk of cardiovascular disease. She also leads Computing and Society - an interdisciplinary reading and advocacy group at Stanford, dedicated to shifting the practice of computer science towards an approach that engages with its social impact more critically. She received a B.S.E. in Computer Science from Princeton.