Much of my work deals with the empirical foundations of political representation: how individual attitudes translate into political behavior and how institutional constraints shape decision-making. At the beginning of my career, I investigated the role of coercive institutions in regime instability. Over time, I have grown interested in the impact of digital tools on political participation and in the measurement of political inequality in online contexts. My current projects explore the relation between geographic representation and networked participation.
On the methodological side, I am interested in the application of machine learning methods to improve the quality of research data collection systems. In earlier publications, I focused on the development of statistical methods for the measurement of political attitudes and behaviors online and offline. A theorist at heart, I maintain an active interest in formal modeling.
During my career, I have advised statistical institutes, academic organizations, and government agencies on survey data collection, on statistical methodology, and on open science.
A full list of publications and research activities is available on my CV.