Siqi Han is an assistant professor of sociology at the Chinese University of Hong Kong (CUHK), where she is also involved with the computational social science cluster. Originally from Nanchang, Jiangxi Province, Siqi has had an academic journey that includes studying and working at Fudan University, The Ohio State University, and Columbia University. Her research focuses on the structure of knowledge within college curricula, the interplay between field of study and school-to-work transitions, and the economic returns of skills in the labor market. Utilizing a mix of surveys and unstructured textual data, Siqi employs advanced quantitative methods, particularly machine learning and LLM-based data collection, to tackle fundamental questions regarding social stratification. She finds joy in defining complex concepts and measuring them with quantitative rigor. Recent updates to her work include exploring economic returns to curriculum interdisciplinarity, deservingness described in college crowdfunding campaigns, and national gender egalitarian progress in relation to women’s overeducation. You can reach Siqi at siqihan@cuhk.edu.hk.