Three lines of work on knowledge, AI, and society.

Even as technologies connect us more tightly, political and cultural divides deepen and communities increasingly consume separate information worlds. I study the social processes through which scientific findings and public information are bent, filtered, and reinterpreted as they move across these divides: on social media platforms, in policy discourse, and in the institutions that claim to represent evidence.

Large language models are no longer only tools. They talk, persuade, disagree, and increasingly act as social participants, among humans and among each other. I study how these systems encode perspective, how their participation reshapes human judgment, and what emerges when many AI agents reason together.

If language models can simulate human perspectives and parse unstructured text at scale, can they extend the empirical reach of social science? My third line of work treats AI not as an object of study but as an instrument, one that, used carefully, recovers what surveys never asked, scales measurements that once required hand coding, and surfaces systematic biases in the predictability of opinions.