Pyung Kim
I am a Ph.D. candidate in Public Policy and Political Economy at the University of Texas at Dallas, where I was admitted with the highest honors. My research focuses on evidence-based policy design leveraging spatial data science. Using GIS and spatial analysis, I explore the features of inclusive neighborhoods for populations with health disparities to pinpoint areas requiring policy interventions. Using spatial econometrics, I examine how the causal impacts of the policy intervention differ based on neighborhood characteristics. Deep learning methods are also a part of my toolkit, enabling me to forecast demand for public services and devise personalized policy interventions. My ultimate research goal is to reduce health disparities and advocate for inclusive institutions.
Before joining UT Dallas, I served as a research assistant at the Korea Institute of Public Administration, a national think tank operating under the Prime Minister. I earned my B.A. in Public Administration from Ajou University, graduating with summa cum laude. Subsequently, I obtained my MPA at Yonsei University in South Korea. Throughout my academic journey, I have been fortunate to receive several prestigious scholarships based on merit from the Korea Ministry of Education, the National Research Foundation of Korea, the Korean Association for Policy Studies, Ajou University, Yonsei University, and UT Dallas.
Research Interests
- Environment, Health, and Disability
- Causal Inference and Policy Evaluation
- GIS and Spatial Analysis
- Applied Machine Learning