I am a political scientist studying why people think and behave the way they do in political life, and why their political choices are so often driven by forces they themselves do not fully recognize. My research shows that political behavior is systematically shaped by latent psychological mechanisms, including cognitive biases and implicit beliefs about fairness and desert. I study these mechanisms across a range of political phenomena, from how people perceive democratic and scientific institutions to how they develop attitudes toward inequality, climate change, and public health policy. A central goal of my work is to use these insights to inform the design of institutions that are compatible with human psychology, aligned with democratic values, and capable of advancing public goods.
I apply natural language processing (NLP) with pre-trained and fine-tuned language models to analyze large-scale unstructured text data from sources such as social media and political speech, measuring beliefs, emotions, and narratives at scale, and advanced statistical models for causal and descriptive inference. I complement this with formal modeling and agent-based simulation to develop and test theoretical predictions, and with survey experiments and incentivized economic games to identify causal mechanisms in controlled settings. Together, these approaches allow me to study the psychological and institutional foundations of 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)