ORCIDAI-Powered Psychometrics · Network Science · Educational Measurement
I am a tenure-track Assistant Professor of Educational Statistics and Research Methods at the University of Arkansas and a faculty affiliate with the Center for Public Health & Technology Research. My current research develops AI-powered and model-based psychometric methods for assessment, diagnosis, and social-science research, with applications in education, health, and behavioral data.
LLM-agent frameworks for automated psychometric diagnosis, Q-matrix construction, item and content analysis, and interview-informed modeling of survey responses.
Scoring, reliability, and longitudinal network methods for eating disorders, mindfulness EEG, physical literacy, youth development, and other complex behavioral systems.
Bayesian diagnostic classification, posterior predictive model checking, IRT and latent variable models, process data analysis, and reproducible computational tools.
Fall 2026, Tuesday | 5:00 PM - 7:45 PM; GRAD 239. Principles of experimental design for educational research, with emphasis on analysis-of-variance designs, validity, interactions, repeated measures, and model-based interpretation. Open syllabus.
Fall 2026, Monday | 5:00 PM - 7:45 PM; GRAD 229. Applied multivariate procedures for educational and behavioral research, including observed-variable methods, latent-variable foundations, and reproducible analysis workflows in R. Open syllabus.