Heonuk Ha completed undergraduate studies in English Literature and Philosophy at the Korea University and earned MPP/MAE in Public Policy and Applied Economics from the University of Michigan. He previously worked for several policy institutes, such as the Detroit Mayor’s Office, the United Nations’ Economic Commission, and the International Forestry Resources and Institutions (IFRI) at the University of Michigan. As a Ph.D. candidate at the Price School of Public Policy, his research interests broadly lie in the political economy of federal fiscal policy by using the large-scale dataset and various quantitative methodologies, including machine learning and AI techniques. His current research focuses on the role and strategy of the federal bureaucracy in federal grant allocation. In addition, he has conducted text analysis research to show the legislators’ fiscal stance and hearing strategy in the congressional committee hearings.