My research currently spans three main areas: understanding the complex dynamics of school closures, understanding classroom dynamics, and developing tools to advance education research. I also have older projects exploring various facets of educational equity and outcomes.

School Closure Research

Examining the equity implications and policy trade-offs in school closure decisions through simulation modeling, machine learning prediction, and natural language processing of community feedback. This work helps district leaders make more informed, equitable closure decisions by revealing hidden trade-offs and providing early warning systems.

Classroom Dynamics Research

Using observational data and advanced statistical methods to analyze classroom interactions, instructional practices, and their effects on student outcomes. This research aims to identify effective teaching strategies and inform professional development for educators.

Tool Development

Creating open-source tools that make advanced research methods more accessible. This includes developing Python and R packages for text measurement using large language models and education finance data analysis.

Other Projects

A collection of research projects examining parental equity beliefs, gentrification’s impact on education, school closure scenario planning, and educational technology user engagement.