I am an Associate Professor of Computational Social Science in the Department of Methodology at the London School of Economics and Political Science, as well as a faculty affiliate at the Data Science Institute and the Phelan United States Centre. I currently serve as Deputy Head of Department for Research and Doctoral Programmes Director.

My research uses game theory, causal inference and computational methods—including machine learning, natural language processing and large language models—to study legal and political institutions. My substantive interests include law, courts and policing, identity and discrimination, and accountability and corruption. Much of my empirical work focuses on the U.S. federal courts. Some of my research has been published in the American Political Science Review, the American Journal of Political Science, the Journal of Politics, the Economic Journal and Political Science Research and Methods. I currently serve on the editorial board for the American Political Science Review and the Journal of Law and Courts.

I was a co-founder of the American Political Science Association's Formal Theory Section, which organizes workshops and panels, provides teaching materials, and offers awards in recognition of outstanding research using formal models. I served as its program chair from 2020 to 2022, and then as its Vice President, President and Past President from 2023 to 2026. I am currently the Treasurer of APSA's Political Economy Section.

I received a Ph.D. in political science and an M.A. in economics from the University of California, Berkeley. I also received an M.P.A. from Columbia University and a B.A. in politics and economics from Brandeis University.

Prior to my graduate training, I was a paralegal at Cleary Gottlieb Steen & Hamilton LLP in New York, and interned at the U.S. Embassy in Norway.

I am an on-again, off-again user of social media. You can (sometimes) find me on X at @ryan_hubert and on BlueSky at @ryanhubert.bsky.social.