Kilchan Choi is the Associate Director of Statistics and Methodology at UCLA CRESST. His expertise is in the development of advanced statistical methodologies including latent variable hierarchical models, Bayesian analysis, and latent variable measurement models with hierarchical data, and applications in large-scale assessment, multi-site evaluation, growth modeling, and the effectiveness/accountability of schools.

Dr. Choi has developed latent variable regression approaches in modern psychometric models and hierarchical models. His research focuses on integrating item response theory models, latent variable regressions, longitudinal analysis, and hierarchical models into a general comprehensive statistical model. He oversees standardization of assessment strategies, implementation of new approaches, and innovation in evaluation methods for major CRESST projects.