I am a researcher and data scientist
Prior to joining Interos, I conducted researched and taught at several universities, including Baylor University in Waco, Texas; the George Washington University in Washington, D.C.; O.P. Jindal Global University in Sonipat, India; and the University of Southern California in Los Angeles, CA.
The common theme that unites my varied academic research is better understanding how powerful actors in global politics attempt to coerce weaker ones by means that stop short of outright violence. Stated more simply, how do powerful actors get others to do what they want without going to war? And how can the less powerful resist?
Methodologically, I am a pluralist, employing a wide range of qualitative and quantitative methods in my work. On the quantitative side, I work primarily in Python (Pandas, Numpy, SciKit Learn, SpaCy, NLKT) on machine learning tasks, with particular expertise in Natural Language Processing and Text as Data. I also have experience with R (especially Quanteda and WordFish). On the qualitative side, I have done fieldwork, elite interviews, participant observation, online surveys, and archival research.
My regional expertise includes South Asia, Sub-Saharan Africa (especially East Africa), the European Union, and the United States.
I am Hungarian by origin, French by birth, American by education, and also spent formative years in Cambodia and Tanzania. I received my B.A. from Dartmouth College in 2006, my M.A. from King’s College London in 2007, and my Ph.D. from the University of Southern California in 2016 for a dissertation titled Taking Orders from Brussels? External Actors and Regional Organizations in the Developing World.