I am a Postdoctoral Research Fellow in the Data Science Lab at the Hertie School and in the Data and Methodology Center at the SCRIPTS Cluster of Excellence. My researсh interests are in the fields of comparative political economy and political methodology and focus on democratic institutions in non-democracies, regional and local development, and public goods provision with an application of causal inference and machine learning tools. I received my PhD in Political Science from the University of Rochester in 2020.
I work with both historical and contemporary data with Russia as my primary area of studies. As part of my dissertation, I have collected data on Russian elected and appointed city-level executive officials and parsed municipal budget and public procurement data. Here you can read more about my data collection.
As part of my historical data collection, I have conducted fieldwork in Russia, including archival work in State Archive of the Russian Federation and Russian State Historical Archive. A reflection on my archival experience was published in the Fall 2019 Comparative Politics Newsletter.
I am a co-organizer and a coordinater of the Data Science Summer School 2021.