I am a Democratic Innovations Postdoctoral Associate at Yale’s Institution for Social and Policy Studies working with Alan Gerber and Greg Huber., where I have coordinated Yale’s contributions to the SAY24 presidential election study. I received my PhD in Political Science from the University of California San Diego in 2023 studying elections and voters. I am on the 2024-2025 academic job market.

In my job market paper, I investigate the link between voter information and accountability. I look at how the decline in local news has impacted primary elections showing it has hurt incumbents and moderate candidates using a novel within district identification strategy. My research also looks at why primary elections seem to follow predictable patterns despite voters knowing very little about the candidates. I argue voters who lack sophisticated information can rely on name recognition generated by campaigns and that parties provide key resources for candidates to generate effective campaigns. I combine big data, original surveys, and causal methods to answer these questions

My research also covers areas of representation, election policy, and causal methodologies. I have studied how to increase voter turnout using large scale field experiments, how COVID-19 helped to polarize the vote-by-mail debate in the United States, and how election officials can administer elections to increase trust in elections in the US. I study representation, including racial gaps in representation in the US Congress, how policy positions influence partisanship, and the dynamics of campaign contributions in US elections.

My research has appeared or is forthcoming in, among others, the Proceedings of the National Academy of Sciences, Legislative Studies Quarterly, the British Journal of Political Science and Political Analysis, in addition to R&Rs at the APSR, AJPS and QJPS. It has also been quoted or discussed in Slate, Forbes, and the LA Times, as well as recieving multiple APSA section awards.

You can find my CV here.