Yuanxi Li
Hello, I’m Yuanxi Li! I am an incoming PhD student in Sociology at the University of Washington.
As an interdisciplinary researcher, my work focuses on how computational methods and demographic analysis can illuminate and mitigate structural inequalities. I am particularly passionate about the intersection of computational social science, demography, social networks, and health disparities. Broadly, my research aims to understand human behavior and societal dynamics through both digital trace data and traditional sociological methods.
Prior to starting my PhD, I will receive my Bachelor of Arts in Sociology (Honors) and Bachelor of Science in Informatics from the University of Washington in June 2026.
In my free time, I enjoy writing poetry, photography, exploring coffee, and skiing. I am also the author of a self-published poetry chapbook, The Sun, The Moon, Rambling, Ranting..
Contact me at yuanxili@uw.edu.
news
| Aug 08, 2026 | Presented “Beyond Partisanship: Explaining Vaccine Attitudes through Cultural Capital” in a roundtable session at my first American Sociological Association (ASA) Annual Meeting. |
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| Jun 25, 2026 | Our paper “Neutrality Bites: Gender Representation in LLM-Generated Animal Stories” was published in the proceedings of ACM FAccT 2026. |
| May 15, 2026 | Presented my honors thesis, “Beyond Partisanship: Explaining Vaccine Attitudes through Cultural Capital,” and our “Multimodal AI Analysis of Politically Sensitive Material: A Case Study on Pepe the Frog” poster at the UW Undergraduate Research Symposium. |
| May 07, 2026 | Presented two posters at the Population Association of America (PAA) 2026 Annual Meeting: “Navigating Digital Marginalization: Cyberbullying Experiences of Transgender and Non-binary Emerging Adults in Online Spaces” (PDF) and “Beyond Income: Health Difficulties and Food Hardship in Homelessness” (PDF). |
| Apr 23, 2026 | Our paper “Multimodal AI Analysis of Politically Sensitive Material: A Case Study on Pepe the Frog” was accepted for publication in the Journal of Cultural Analytics. |