Research
My research explores education, data science, and learning technologies. I combine methods from learning sciences, education research, and computational approaches to address complex problems in teaching and learning.
Research Areas
Learning Analytics in Educational Settings
Using computational approaches to understand teaching and learning processes across educational contexts.
Educational Data Science
Applying quantitative methods to analyze educational phenomena and improve learning outcomes.
Mathematical Knowledge for Teaching
Investigating the specialized knowledge needed for effective mathematics teaching, particularly for teacher preparation.
Technical Skills Education
Exploring innovative approaches to technical skills development with a focus on data science education.
Liberal Arts Education Outcomes
Examining the long-term impacts of liberal arts education on career trajectories and life outcomes.
Featured Research Projects
Simulated Teaching and Learning at Scale
Developing frameworks to evaluate AI-generated educational dialogues along two critical dimensions: simulation fidelity and interaction effectiveness.
AI-Enhanced Technical Interview Preparation
Creating scalable, personalized technical interview practice for data science students by combining expert human interviews with AI simulation.