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Gregory M Duncan is an Affiliate Faculty member in the Department of Economics at the University of Washington. His research interests are diverse, focusing on Algorithmic Processes, Data Science, Econometric Theory, and Labor Economics. He has a strong academic background in Econometrics and Microeconomics, applying advanced machine learning techniques to solve complex economic problems. Duncan is involved in teaching courses such as Econometrics and Research Issues in Econometrics at the graduate level, and he is committed to exploring innovative data-driven methodologies to enhance economic research.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.