معرفی
Xu Zong is a Doctoral Researcher in Social Sciences at the University of Helsinki since January 2022, affiliated with the Helsinki Institute for Demography and Population Health. His research focuses on leveraging Machine Learning to analyze Population Health and Aging, particularly examining how early-life circumstances influence late-life health inequalities through longitudinal data from surveys like SHARE and CHARLS.
- Education: Pursuing a PhD in Social Sciences at the University of Helsinki (2022–present), with a thesis topic on childhood circumstances and health inequalities among older adults.
His research integrates Machine Learning with interdisciplinary analyses of social determinants of health, emphasizing life course perspectives and cross-national comparisons. Recent work explores links between adverse childhood experiences and post-COVID-19 conditions, religious upbringing's impact on late-life health, and predictive models for childhood behavioral difficulties.
Key trends in his publications include methodological innovation in Machine Learning applications, cross-national Longitudinal Surveys, and interdisciplinary approaches to Health Inequality. He has contributed to journals such as Journal of Affective Disorders and Social Science & Medicine, with preprints on Open Science Framework and Research Square.
- Scientific Awards:
- Honorable Mention, U.S. Interdisciplinary Contest in Modeling (2015)
- National Second Prize, China Undergraduate Mathematical Contest in Modeling (Top 5%) (2015)
Xu has organized workshops (e.g., 'Machine Learning in Research on Social Determinants of Health', 2024), participated in academic visits (e.g., European Centre for Social Welfare Policy and Research, 2022), and served as a peer reviewer for journals like Psychiatry Research and Social Indicators Research. Media outlets have highlighted his findings on early-life risk factors and behavioral health outcomes.
