Sunbeom Kwon

Hello! I am a Postdoctoral Scholar in the College of Education at the University of Washington. I earned a Ph.D. in Quantitative Psychology and an M.S. in Applied Statistics from the University of Illinois Urbana-Champaign.

I am interested in psychometrics and data science. My current research focuses on:

1. Copula-based Latent Variable Models I develop copula-based methods to improve measurement accuracy and enable hypothesis testing for non-linear and asymmetric dependence of latent variables. This overcomes traditional multivariate Gaussian assumptions, allowing for a more flexible and nuanced dependence modeling.

2. Integrating Psychometrics and AI My work explores the bidirectional interaction between these fields: I apply measurement theory and techniques to evaluate the performance and fairness of AI systems, while also utilizing modern AI techniques to improve the accuracy and efficiency of complex psychometric models.

3. Analyzing Complex Modern Testing Data I develop computational methods for extracting meaningful insights from information-rich, high-dimensional test data such as response time and problem-solving process data.