I’m an incoming Faculty Fellow at NYU’s Center for Data Science. My projects include new techniques for extracting political events from text, automatically learning events from text, resolving place names in text to their geographic coordinates, linking events with the locations where they occur, generating event data in Arabic, creating novel datasets to understand the determinants of violence against civilians in Syria, and methods for quantifying uncertainty in the study of military operations.
I recieved my PhD in political science from MIT, with a dissertation that develops new techniques in natural language processing to better understand international conflict and civil war. In Fall 2022 I will begin as an Assistant Professor in Political Science at Michigan State University.
Before graduate school, I worked at Caerus Analytics in Washington, DC, developing open source analysis software for DARPA. After graduating from Amherst College, I spent a year in Kosovo on a Fulbright fellowship. I’ve consulted as a data scientist/engineer for the U.S. Holocaust Memorial Museum, Kensho Technologies, the Political Instability Task Force, a number of university research projects, and a sports betting operation.
PhD in Political Science, 2021
Massachusetts Institute of Technology
BA in Political Science, 2011