Public Affairs, Princeton University

Kim majored in economics and minored in mathematics and English at Rutgers University-New Brunswick, where she graduated Phi Beta Kappa with high honors in economics. She previously worked as a research assistant and then a data scientist in the Federal Reserve Board’s Division of Consumer and Community Affairs. She used research and data science techniques to inform the Board of conditions facing low- and moderate-income communities. At Princeton, she is concentrating in Economics and Public Policy and pursuing a certificate in Statistics and Machine Learning. She is currently a Graduate Fellow with the Data Driven Social Science Initiative where she provides technical expertise to researchers in the social sciences at Princeton and organizes DDSS events. In the DSSG Program, she is excited to expand her technical skillset, focus on ethical aspects of data science for public policy, and contribute to important work on water scarcity in the Colorado River Basin.