Hello, I'm
Sociology Researcher
M.A. Sociology · Columbia University
Research Assistant · COMAP Lab, Northwestern University — with Prof. Yingdan Lu
From philosophy, toward the social shape of intelligence.
I came to sociology from philosophy. The questions I cared about — about reasons, authority, and the conditions under which knowledge becomes legitimate — kept refusing to stay inside conceptual analysis. They wanted to be pursued where they actually take shape: in code, infrastructure, and the institutions that wrap around them.
My current work sits at the seam of computational sociology and the sociology of technology. I ask how AI systems — large language models, recommendation engines, algorithmic management platforms — are quietly redesigning the social forms that organize work, expertise, and status. Generative AI does not just automate tasks; it redistributes authority, collapses some hierarchies while raising new ones, and forces us to ask, again, who counts as a legitimate knower.
Previously I read philosophy at Peking University. I completed my M.A. in Sociology at Columbia, and serve as a Research Assistant in the COMAP Lab at Northwestern with Prof. Yingdan Lu.
Three structures AI is quietly rewiring — organizations, ladders, legitimate knowledge.
How generative AI redistributes coordination and decision rights inside organizations — flattening some hierarchies, raising new elites of “AI orchestrators,” and giving rise to thin organizations built less like pyramids than like swarms.
AI builds new ladders even as it dissolves old ones. I theorize a stratification system organized around access to models, capacity to prompt, and ownership of training data — and ask which inequalities it reinforces and which it scrambles.
When an LLM can draft a contract, diagnose a rash, or write a literature review, whose authority survives? Building on Abbott’s System of Professions, I trace how AI is renegotiating jurisdictional boundaries — and re-stratifying the professions from within.
Working papers and ongoing projects — click any entry to expand the abstract. Email for the latest drafts.
Traces the rise of small, AI-augmented teams whose internal structure looks less like a pyramid and more like a swarm.
Maps four positions — model-owners, model-tuners, model-users, model-subjects — and shows how mobility between them is shaped.
Maps the emerging division of labor between human and model. AI as a re-stratifier within professions.
Talks given at departmental workshops and graduate conferences.
Led weekly discussion sections, designed writing-intensive prompts on cultural theory, and graded undergraduate papers across two semesters.
Co-organized a fortnightly methods workshop for incoming M.A. students, focused on qualitative coding and mixed-methods design.
Convened a weekly undergraduate reading group on contemporary epistemology and philosophy of social science.
Open to conversations about research, collaboration, and graduate study — particularly on the sociology of AI, computational sociology, and algorithmic stratification. Email is the surest way to reach me.