I am a Ph.D. candidate in Political Science at the University of Michigan. My research interests lie at the intersection of international political economy and quantitative methodology. I am specifically interested in studying how deepening global value chains reshape the landscape of global governance structure. My dissertation investigates how expanding global production networks align the interests of domestic economic actors across countries to introduce growing complexity to the institutional design of trade agreements. I also take interest in advancing quantitative research methods with a particular focus on empirical models for complex networks and text data. My research projects include analyzing the evolution of global economic structure by employing unsupervised machine learning on countries’ development policies and global production networks. Other research projects develop a Bayesian topic model to analyze text data with network structure. Starting Summer 2023, I will be an assistant professor of Data Science at KDI School of Public Policy and Management.