Maximilian Kasy serves as Professor of Economics at the University of Oxford's Department of Economics, actively contributing to research and teaching within econometrics and applied microeconomics frameworks. His research spans machine learning theory, algorithmic decision-making social impacts, publication bias mechanisms, adaptive experimental design, statistical decision theory, empirical Bayes methods, causal identification, and economic inequality with optimal taxation applications. This interdisciplinary work bridges economics, statistics, and machine learning to address methodological challenges in empirical research and policy evaluation, emphasizing social accountability in algorithmic systems and research transparency. Recent publications demonstrate expertise in adaptive experimental frameworks for policy optimization and novel methodologies for detecting and correcting publication bias, reflecting his commitment to improving empirical rigor and social relevance in economic research. Scientific recognition includes: Sloan Foundation grant (2022) Professor Kasy mentors students through Oxford's Summer School courses and coordinates the interdisciplinary Machine Learning and Economics Group, fostering collaboration across methodological domains. His research groups specifically focus on Econometrics and Applied Microeconomics, with significant engagement in UK and European contexts addressing Labour, Technology, and Inequality challenges.
