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

Predictive and explanatory models might miss informative features in educational data

Under review, pre-print version

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

Published in Physical Review Physics Education Research, 2021

Developing a Faculty-Facing Resource for Experiential, Interdisciplinary, Undergraduate Teaching

Presented at the X-DBER Virtual Conference 2021

Addressing Rare Outcomes in PER Quantitative Studies

Presented at the American Association of Physics Teachers Winter Meeting 2021

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