Daniel Thompson

Daniel Thompson is an Assistant Professor in the Department of Political Science at UCLA, specializing in American politics and political methodology. His research examines electoral accountability with a focus on local policymaking, elections, immigration, and criminal justice. He employs administrative datasets and causal inference techniques to study government behavior.

Dr. Thompson holds a PhD in Political Science from Stanford University and a Master of Public Policy from UC Berkeley. His research interests include political economy, local politics, and data science applications in social science research.

He has received notable recognitions including a Computational Social Science Fellowship from Stanford's IRiSS and a grant from the Center on Philanthropy and Civil Society. His recent publications analyze varied aspects of electoral systems including vote-by-mail efficacy, election administration partisanship, and immigration policy impacts on voter behavior.