Wanying Ling (凌宛莹) is a full-time PhD student in the Department of Sociology at the University of Hong Kong.
I conduct empirical research on population health and well-being, focusing on trends, inequalities, and their social determinants. My work integrates three perspectives: (1) formal demography, characterizing patterns and temporal dynamics in births, deaths, and health; (2) social epidemiology, identifying how work and family life shape physiological health and subjective well-being; and (3) computational social science, exploring novel ways to observe and measure social behavior using nontraditional data, analytic methods, and visualization.
2023 M.Phil. in Demography, Renmin University of China
2020 B.Sc. in Statistics (Minor in Sociology), Minzu University of China
Demography,
Social Epidemiology
Computational Social Science
My recent research interests include: health implications of precarious work; unpaid domestic and care work; generative AI in the social sciences. More details on recent research interests and projects are available on my personal website.
2020 Outstanding Graduate Beijing Municipal Education Commission
Wanying Ling, Senhu Wang, and Zhuofei Lu. 2025. “Working Time Mismatch and Employee Subjective Well-Being across Institutional Contexts: A Job Quality Perspective.” Work, Employment and Society 39(2):470–95.
Wanying Ling, Senhu Wang, and Shuanglong Li. 2024. “Diversity Patterns in Non-Standard Employment and Their Relationship with Self-Rated Health in Urban China from 2010 to 2021.” Social Science & Medicine 348:116827.
Tarani Chandola, Wanying Ling, and Patrick Rouxel. 2025. “Short Communication: Are Anxious Mondays Associated with HPA-Axis Dysregulation? A Longitudinal Study of Older Adults in England.” Journal of Affective Disorders 119611.
Ya Guo, Wanying Ling, Wen Fan, and Senhu Wang. 2025. “Work-Schedule Instability and Workers’ Health and Well-Being across Different Socioeconomic Strata in China.” Research in Social Stratification and Mobility 95:101008.
凌宛莹、崔思瞻. 2025. 《复现的限度：“硅基样本”的可能与可为》. 智能社会研究 4(2):179-201+252-253.