How artificial intelligence reshapes what we know, believe, and decide together.
I study the sociology of knowledge in an age of generative AI: how machines mediate the flow of information, how groups of humans and agents reason together, and how social science can be expanded with AI as a method.
Active Research
All projects
Political and Cultural Divides in Knowledge Systems
How scientific knowledge and public information become distorted as they travel across ideological communities, from fact-checking on social platforms to the citation of science in partisan policy.
AI as Mediators and Agents of Knowledge
How large language models persuade, disagree, and reason: in conversations with humans, in networks with other agents, and through the political perspectives they silently encode.
AI for Social Science
Using generative AI to recover public opinion never surveyed, to simulate human respondents, and to quantify the distortion of scientific knowledge as it enters public discourse.
Selected Work
Full list-
Under review
Reasoning models generate societies of thought
Working paper · with Google, Paradigms of Intelligence -
2025
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2025
Linear representations of political ideology emerge in large language models
ICLROral · Top 1.8% -
2024
News
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2026.08Presenting Scientific misinterpretation and information laundering in policymaking at ASA 2026, New York City.
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2026.07Presenting Reasoning models generate societies of thought at IC2S2 2026, Burlington, VT.
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2026.05Talk at AI for Social Science Research Methods, Yale University: Reasoning models generate societies of thought.
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2025.11Selected as a Rising Star in Data Science (Stanford · UChicago · UCSD).
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2025.07Started as Ph.D. Student Researcher at Google, Paradigms of Intelligence Team.
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2025.04Oral presentation (top 1.8%) at ICLR 2025: Linear representations of political ideology emerge in large language models.
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2025.01Differential impact from individual vs. collective misinformation tagging published in Nature Communications.