I am a physics education research & computational mathematics science and engineering PhD candidate 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

Addressing Rare Outcomes in PER Quantitative Studies

Presented at the American Association of Physics Teachers Winter Meeting 2021

Investigating institutional influence on graduate program admissions by modelling physics GRE cut-off scores

Published in Physical Review Physics Education Research, 2021

The Physics GRE Does Not Help Applicants "Stand Out"

Under review, pre-print version

Using Machine Learning to Understand Physics Graduate School Admissions

Published in the 2019 Physics Education Research Conference Proceedings

• More Posters, Talks, and Papers (Full CV)