I study the behavioral foundations of institutions: how human psychology, social learning, and informational environments shape political behavior and the success of collective action. My work integrates large-scale computational analysis, experiments, and formal models to examine how people respond to inequality, public health interventions, and climate risks.
A central focus of my research is understanding when institutional designs, such as regulations, redistributive policies, and informational interventions, align with human cognition and social dynamics, and when they instead generate resistance or unintended consequences. Ultimately, my goal is to inform the design of institutions that are both effective and consistent with democratic values.
I use a diverse methodological approach to study the psychological and institutional foundations of political behavior. My work applies natural language processing, including pre-trained and fine-tuned language models, to analyze large-scale unstructured text data from sources such as social media and political speech, allowing me to measure beliefs, emotions, and narratives at scale. I also use advanced statistical models for both causal and descriptive inference. I complement these approaches with formal modeling and agent-based simulation to develop and test theoretical predictions, as well as with survey experiments and incentivized economic games to identify causal mechanisms in controlled settings. Together, these methods allow me to investigate political behavior across varied contexts and data sources. You can find my publications and projects in the Research tab.
My work has been published in PNAS, the Journal of Environmental Psychology, Humanities and Social Sciences Communications, and the Journal of Public Health Policy. My research has also been supported by an APSA Summer Centennial Center Research Grant.
I teach Computational Text Analysis for Social Sciences, which covers machine learning and natural language processing using both R and Python. You can find the course materials on my Teaching page.
I am a postdoctoral researcher at the University of Pennsylvania in Philosophy, Politics, and Economics and the Center for Social Norms and Behavioral Dynamics . I received my Ph.D. in Political Science at Stony Brook University in 2023.
Research Interests
- Subfields:
- Political Behavior
- Behavioral Political Economy
- Political Psychology
- Science, Technology & Environmental Politics
- Political Methodology
- Computational Social Science
- Topics:
- Political attitudes, perceptions, and beliefs
- Institutions, behavior, and cooperation
- Inequality and redistribution
- Climate change
- Political attitudes, perceptions, and beliefs
- Methodologies:
- Natural language processing (publication and working papers)
- Experiments (publication and working papers)
- Survey data (publication and working papers)
- Formal and agent-Based modeling (publication and working papers)