About me

I received a Ph.D. in Political Science from New York University in 2015, having specialized in the subfields of comparative politics and quantitative methods. I am currently a research fellow in the Q-Step Centre at the University of Exeter, working on the NCRM Methodological Innovation project “ExpoNET: Measuring Information Exposure in Dynamic and Dependent Networks”, and delivering workshops in programming, statistics, and social media data analysis. I have previously been part of the ESRC project “Media in Context and the 2015 General Election: How Traditional and Social Media Shape Elections and Governing”, and have designed and delivered quantitative data analysis lab sessions for a number of Q-Step modules, such as Data Analysis for the Social Sciences (I and II), Economics of Politics, Money and Politics in the United States and Political Psychology. Before coming to Exeter, I have spent the last year of my Ph.D. as a pre-doctoral fellow in the Department of Methodology at the London School of Economics and Political Science.

I study electoral competition, social media and political participation, and use a variety of quantitative methods such as natural language processing and quantitative text analysis, machine learning algorithms, survey experiments and agent-based modelling. I have recently been awarded an ESRC IAA Innovation Fellowships for working with the IBM Centre for Advanced Studies in Amsterdam on the project Understanding News Bias (UNBias) which aims to deliver algorithms for measuring topic-specific ideological positions in news articles.