Kilchan Choi is the Associate Director of Statistics and Methodology at CRESST and serves as Principal Methodologist for ELPA. 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. He has developed latent variable regression approaches in modern psychometric models and hierarchical models and his current research focuses on integrating item response theory models, latent variable regressions, longitudinal analysis, and hierarchical models into a general comprehensive statistical model. Dr. Choi is leading the psychometric and research team at ELPA21. He is a native Korean speaker.