Haohan Chen is a computational social scientist. He received his Ph.D. in Political Science and MS in Statistical Science from Duke University. His research theorizes the dynamics of citizen-citizen interactions in social media political talk in authoritarian China and tests it with original social media text and network data. Broadly defined, Haohan's substantive research focuses on comparative political behavior and communication. His methodological research focuses on text-as-data, machine learning, Bayesian statistics, and social network analysis. In addition to studying contemporary Chinese politics, Haohan is part of an interdisciplinary effort in understanding political polarization in democracies using observational and experimental studies on social media.