Summary
Youngkoung Kim is a Senior Psychometrician at the College Board with nearly a decade of experience designing and operationalizing large-scale assessment systems, including IRT calibration, equating, and test assembly for CLEP and the SAT Suite. He blends deep statistical modeling and educational measurement expertise with modern data science and software skills (Python, R, SAS, SQL), and has led initiatives that halved calibration timelines and delivered error-free AP digital equatings for over a million students. A leader of the Machine Learning and Psychometrics Community of Practice, he actively applies novel methodologies to measurement problems and builds automated, error-resistant analysis pipelines. Trained with a PhD in Educational Assessment from Columbia and advanced degrees in Data Science and Computer Science, he pairs rigorous theory with practical, production-ready tooling. Outside work he’s an avid runner and photographer, a detail-oriented practitioner who enjoys translating complex statistical methods into dependable operations.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of California, Berkeley
Doctor of Philosophy - PhD, Educational Assessment, Testing, and Measurement, Doctor of Philosophy - PhD, Educational Assessment, Testing, and Measurement at Columbia University in the City of New York