Summary
Youngsun Moon is a postdoctoral scholar at Stanford GSE with nine years of experience studying literacy development, language assessment, and psychometrics, currently leading work on ROAR to create scalable, silent group reading assessments for schools. Trained in advanced quantitative methods and holding a Ph.D. in Education from UC Irvine, they bring large-scale longitudinal data management and measurement expertise—having handled 2,000+ student records and 1,000+ variable datasets—to rigorous validation and bias analyses. Their background teaching English and research on computerized EFL testing gives them a practical, multilingual perspective on how reading and spelling interact across diverse learners. Known for translating complex statistical findings into practitioner-facing tools and infographics, they prioritize open-access solutions that directly inform classroom practice.
9 years of coding experience
6 years of employment as a software developer
Master of Arts - MA, English Education, Master of Arts - MA, English Education at Korea University
University of California, Irvine
Korean, English, Spanish