Sarah Bardin joined our project as a PhD student at the University of Arizona. She worked with Peter Kedron on reproductions of spatial analyses of COVID-19 in a graduate course on spatial statistics, and with the summer group study team replicating spatial Bayesian approaches to studying geographic patterns of COVID-19.

When she is not saving the world through her work at Mathematica, she is saving our research agenda with her technical expertise in R, Qualtrics, data visualization, and spatial statistics, and her insistence that the PIs do things that actually make sense.

Find more about Sarah on her LinkedIn and ASU profiles.

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