Theoretically, I combine political economy, political sociology, and social cognition approaches to study the formation of political opinion, attitudes, and preferences. My research investigates the connections between people’s socioeconomic conditions, cognitive perceptions about the socioeconomic environment, and their opinion and behavior. I have conducted national surveys and survey experiments to investigate how different groups react to information about the causes of inequality, the state of the economy, and social demand for welfare policies. See my research page for more details.
My research in political methodology focuses on machine learning, Bayesian statistics, computational methods, and causal inference. I investigate how machine learning approaches can help to overcome methodological challenges in comparative politics. In particular, I have worked with Bayesian models to estimate latent interactive effects in experimental and observational studies in quantitative political analyses. See more details here.