Summary
Angel Chung is a researcher and data-driven AI practitioner with 12 years of cross-sector experience applying machine learning, optimization, and quantitative methods to health, education, and public policy challenges. Currently a Penn AI Fellow and Associate Fellow at Penn LDI while pursuing a PhD at Wharton, Angel blends academic rigor with applied projects—from optimizing global health supply chains at MACRO-EYES to policy evaluation in Taiwan’s legislature. Skilled in STATA, GIS, and statistical programing, they have taught graduate courses and won a Penn Prize for Excellence in Teaching, signaling strong communication of complex methods. Angel’s background in sociology, economics, and international education gives them a rare interdisciplinary lens for translating data into actionable insights for both researchers and policymakers.
12 years of coding experience
2 years of employment as a software developer
Visiting Student, full scholarship Study Abroad Program for Future Scholars in Social Sciences, Ministry of Education, Visiting Student, full scholarship Study Abroad Program for Future Scholars in Social Sciences, Ministry of Education at University of California, Berkeley
Dual Bachelor's degrees, Sociology & Economics, Dual Bachelor's degrees, Sociology & Economics at National Chengchi University
The University of Hong Kong (HKU)
Doctor of Philosophy - PhD, Operations Mangement, Doctor of Philosophy - PhD, Operations Mangement at The Wharton School
Master's degree (dual Majors), International Educational Development, Quantitative Methods (Statistics, Measurement, Assessment, and Research Technology), Master's degree (dual Majors), International Educational Development, Quantitative Methods (Statistics, Measurement, Assessment, and Research Technology) at University of Pennsylvania Graduate School of Education
Chinese, English, German, indonesian (bahasa indo)