In my role as a Postdoctoral Research Fellow at the Immigration Policy lab, I work primarily on the GeoMatch project. This project utilizes machine learning and matching methodologies to develop software that aids refugee resettlement and immigration agencies in placing incoming migrants. I work primarily on the backend and am developing the supervised learning models that determine optimal landing spots.

Since 2017, I have worked on the Monitoring the Election research project, where I build and maintain live visualizations of streaming Twitter conversations about US elections.

I contribute to the Anandkumar-Alvarez Trustworthy Social Media Research Group, where we develop AI methods to detect trolling and harassing behavior in social media. We recently started a Medium publication to disseminate some of this work.

As a graduate student, I worked as a research assistant with the Caltech-MIT Voting Technology Project. My work was expanded into the Cambridge University Press book Securing American Elections: How Data-Driven Election Monitoring Can Improve Our Democracy.