My primary methodological research involves statistical and computational genetics, longitudinal data analysis, and integrative data analysis. I am interested in using large-scale genetic data and computational statistics to better understand the genetic basis of diseases and mental health disorders. I apply statistical tools to understand how people change over time and develop methods to better measure those changes. I am also interested in developing latent variable models to integrate datasets across multiple studies for joint analysis. Substantively, I primarily investigate mental health outcomes, adolescent/young adult development, and population health metrics from patient databases.