Amanda Kube

Amanda is a preceptor in data science focusing on data science education as a joint instructor for both the University of Chicago and City Colleges of Chicago. Prior to joining the DSI, Amanda earned her PhD in Computational and Data Sciences from Washington University in St. Louis, co-advised by Sanmay Das and Patrick Fowler. Her research interests involve the intersection of computer science and the social sciences with a focus on fair applications of AI to social-scientific questions. Her current work combines machine learning and human decision-making to inform fair and efficient service allocations for homeless families. She received her bachelor’s degree in Psychology and Statistics and her master’s degree in Data Analytics and Statistics both from Washington University in St. Louis.