Welcome! I finished my Ph.D. in the Political Economy program at Harvard University in May 2015. I was also a graduate affiliate at the Institute for Quantitative Social Science. Please find my CV here.
After Harvard I started working full-time as an economist on Facebook's Core Data Science group. At Facebook, I'm part of an awesome group that studies the ways understanding human behavior can help rank stories on your News Feed better or show you advertisements that you find more relevant. Our social data science work uses and develops new machine learning methods, and combines them with insights from the social science literature to make Facebook deliver a better user experience.
On a more general level, I am a quantitative social scientist with broad interests. I am most interested in applying the toolkit of economics to important and interesting applied social science questions, for example about social interactions, international culture, and what makes people behave differently. My most recent research considers the impact of culture and identity on human behavior.
My dissertation, supported by the Weatherhead Center's Samuel Huntington Fellowship, analyzes shared identity as a source of conflict. I use state-of-the-art methodology on both the theoretical side (game theory, bargaining theory, network economics), and the empirical side (regression analysis, machine learning, text analysis), which I complement with historical case studies. Read more about my project on the Washington Post's Monkey Cage blog as it applies to the Ukraine-Russia conflict and the Hong Kong protests. Here is the version of my argument I presented at the APSA Annual Meeting in 2014.
Before coming to Harvard, I had earned a degree in Macroeconomics from Corvinus University of Budapest in Hungary.