Rocío Titiunik is Professor of Politics at Princeton University, where she is also the Director of the Data-Driven Social Science Initiative, and an associated faculty with the School of Public and International Affairs, the Department of Operations Research and Financial Engineering, the Center for Statistics and Machine Learning, the Program in Latin American Studies, the Center for the Study of Democratic Politics, and the Research Program in Political Economy. She specializes in quantitative methodology for the social and behavioral sciences, with emphasis on quasi-experimental methods for causal inference and program evaluation. Her research interests lie at the intersection of political economy, political science, statistics, and data science, particularly on the development and application of quantitative methods to the study of political institutions. Her recent methodological research includes the development of statistical methods for regression discontinuity (RD) designs. Her recent substantive research centers on democratic accountability and the role of party systems in developing democracies.

She received the Emerging Scholar Award from the Society for Political Methodology in 2016, which honors a young researcher who is making notable contributions to the field of political methodology and was elected as fellow of the Society for Political Methodology in 2020. Rocio is one of the Principal Investigators of the Empirical Implications of Theoretical Models (EITM) Summer Institute and has served in various leadership roles for the American Political Science Association and for the Society for Political Methodology; she is currently an elected member of the council of the Midwest Political Science Association. Rocio is associate editor for Science Advances and a member of the Board of Reviewing Editors for Science. Previously, she was an associate editor for the American Journal of Political Science, and a member of the Advisory Committee for the Social, Behavioral, and Economic Sciences Directorate of the National Science Foundation.

Rocío was born and raised in Buenos Aires, Argentina, where she completed her undergraduate education at the Universidad de Buenos Aires. She received her Ph.D. in Agricultural and Resource Economics from UC-Berkeley in May 2009. Between 2010 and 2019, she was a faculty member in the Department of Political Science at the University of Michigan, where she was also affiliated with the Center for Political Studies and the Michigan Institute for Data Science.