I'm an Assistant Professor of Quantitative Methods, Measurement, and Statistics at UC Merced. My work centers on quantitative methods for real-world data, spanning Bayesian and nonparametric modeling, latent variable modeling, and machine learning.
Ph.D. in Quantitative Psychology
Bayesian nonparametrics, variational inference, and mixture modeling.
Learn moreStructural equation modeling, longitudinal data analysis, and missing data.
Learn moreDeep learning and causal inference.
Learn moreModeling the structure of mental disorders, including mixture-model approaches to depression phenotyping.
Learn moreStudying coping, stress, and quality of life in contexts such as cancer and the COVID-19 pandemic.
Learn moreApplying quantitative methodology to questions in regional and economic development.
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