About Me
I am a postdoc with Dr. Guanglei Hong at the University of Chicago. I completed my Ph.D. in Quantitative Methods within Educational Psychology at UW-Madison, where I worked with Drs. David Kaplan and Sameer Deshpande. My research centers on developing and applying Bayesian statistics and machine learning for social-behavioral sciences. Currently, I focus on Bayesian nonparametrics in large-scale assessments, particularly Bayesian Additive Regression Trees (BART), to support personalized learning and targeted interventions across heterogeneous populations.
Research Interests
- Bayesian statistics
- Machine learning
- Multilevel modeling
- Psychometrics
- Causal inference