I am a Postdoctoral Fellow at the Massive Data Institute working on developing indicators of forced migration using social media and digital archives. More broadly, I am a computational social scientist with a substantive focus on globalization and inequality. I recently finished my dissertation in Sociology at Indiana University , where I also earned a MS in Applied Statistics. In 2021, I interned at Facebook’s core data science group .
In my dissertation and in various related projects , I take a broad-scale view of inequality and power to understand to what extend globalization reproduces existing hierarchies between cities, regions, and nations (e.g. between Global North/South). I have taught several workshops in Python that introduce students and faculty to computational methods; including how to collect data using webscraping and APIs, predictive modelling, text mining, and network methods. At Indiana University, I collaborated with the Complex Networks and Systems Center to implement network similarity algorithms in Python.