I am a physics education research & computational mathematics science and engineering PhD student at Michigan State University. My current work explores the graduate admissions process in physics through a machine learing methodology.

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Recent Research

Using Machine Learning to Understand Physics Graduate School Admissions

American Association of Physics Teachers Conference and Physics Education Research Conference (2019)

Using Machine Learning to Understand Physics Graduate School Admissions

Published in 2019 Physics Education Research Conference Procedings

Characterizing Mathematical Problem Solving in Physics-related Workplaces Using Epistemic Games

Published in Physical Review Physics Education Research (2019)

Using Machine Learning to Predict Integrating Computation into Physics Courses

American Association of Physics Teachers Conference and Physics Education Research Conference (2018)

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