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.
- Discriminatory housing policy
- Human sex and labor trafficking
- Opioid use disorder
- Cell phone network resilience under hazard
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
A White, S Guikema, T Logan
Published 2021, Applied Geography
We’re seeking a more comprehensive understanding of the health,
income, and educational effects of historical discriminatory policy on a broad scale.
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.