My current work focuses on school closures, classroom dynamics, and tools that advance research practice with LLMs. I am also growing a line of work in measurement, including scalable approaches to developing and validating text-based measures. Earlier projects explore other facets of educational equity and outcomes.

School Closure Research

Examining equity implications and policy trade-offs in school closure decisions through simulation modeling, machine learning, and natural language processing.

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Classroom Dynamics Research

Using observational data, acoustic modeling, and LLM-based semantic context to analyze speaker identification and classroom participation.

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Tool Development

Creating open-source tools like the pairadigm Python package and edfinr R package to make advanced research methods more accessible.

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Measurement Research

Building scalable measures from text, including work on LLM-based pairwise comparisons for item difficulty and emotional affect.

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Other Projects

A collection of research projects examining parental equity beliefs, gentrification, scenario planning, and user learning persistence.

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