I’m is a PhD candidate in political science at MIT, with a dissertation that develops new techniques in natural language processing to better understand international conflict and civil war. 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 on extracting warning signals of conflict from declassified cables.
Before starting at MIT, 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, a number of university research projects, and a sports betting operation.