About

I am a Postdoctoral Scholar at Stanford University, working on the Learning Variability Network Exchange (LEVANTE) with Prof. Ben Domingue and collaborators. My research focuses on psychometrics and Bayesian statistical modeling, with interests in measurement invariance and the integration of AI into educational and psychometric practice.

My dissertation, Bayesian Identification, Estimation, and Evaluation of Growth Mixture Models, advanced new methods for addressing identifiability and model evaluation, offering both theoretical diagnostics and practical guidance for applied researchers.

Previously, I earned my Ph.D. in Social Research Methodologies at UC Berkeley. I also hold an M.S. in Applied Statistics and Psychometrics from Boston College and a B.A. in Statistics from the University of Minnesota, Morris.