Alina Arseniev-Koehler is an Assistant Professor of Sociology at Purdue University. She is currently on academic leave for a National Library of Medicine T15 fellowship in biomedical informatics at UC San Diego. She received her Ph.D. in Sociology from UCLA in 2022. Alina is a computational social scientist who studies culture and social categorization, and their intersections with health and medicine. Three of her current projects include: (1) investigating how and why the stigmatizing meanings of 100+ diseases changed across time; (2) identifying latent indicators of mental distress in summaries of suicides in the U.S. National Violent Death Reporting System; and (3) examining sociodemographic variation in who receives a clinical diagnosis of obesity that remains unexplained by variation in patients’ body mass index. She specializes in using and developing natural language processing methods. Her work has appeared in outlets such as PNAS, American Journal of Public Health, and Sociological Methods and Research. In addition to conducting research, Alina is invested in building up the computational social science community. She co-organized and instructed in the Summer Institute on Computational Social Science (SICSS) at UCLA in 2019, 2020, and 2021.