I am a PhD candidate in the University of Michigan’s Industrial and Operations Engineering department. My research centers societal challenges that have no clear-cut solution and would benefit from additional data-based understanding to complement existing expertise. I use predictive modeling, spatial and statistical analysis, simulation, and unsupervised learning techniques to gain new insights on large datasets. My dissertation work covers:

I am also a part of the Science, Technology, and Public Policy Certificate Program in the Ford Policy School here at the University of Michigan, and I hope to use my research to analyze and inform policy decisions. I will be graduating next year and hope to join an organization that shares my commitment to research for public good.

When I'm not doing research, I love to fly around on circus silks, run, craft, be outside, explore local events, and spend time with my family, friends, and cat Charlie.

Projects and Publications

Why are you here? Modeling illicit massage business location characteristics with machine learning

A White, S Guikema, B Carr

Published 2021, Journal of Human Trafficking

Using scraped web data and publicly available census tract characteristics, we used inferential modeling to detect characteristics significant to the existence of illicit massage businesses in the United States.