Summary
Madison Coots is a doctoral researcher in Public Policy at Harvard Kennedy School and a researcher at the Harvard Computational Policy Lab, combining eight years of data science experience with deep academic training from Stanford and Harvard. She focuses on algorithmic fairness and decision-making with applied impact across healthcare, lending, and criminal justice, translating technical methods into policy-relevant solutions. Concurrent senior data science roles in industry and a start-up founder background show she bridges rigorous research with production analytics and product-building. Her government fellowship work produced a reusable Python package for network analysis, reflecting a talent for turning complex data challenges into practical tools for analysts. Fluent in spatial and textual analysis from earlier research, she brings an unusual mix of historical geospatial insight and modern ML fairness methods to multidisciplinary teams. Based in Greater Boston, she is adept at navigating both academic and operational environments to drive accountable, deployable AI.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Public Policy, Doctor of Philosophy - PhD, Public Policy at Harvard University
High School, High School at Holy Names High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
French, Spanish