Baojing Li is a statistician specializing in register-based research, multigenerational data linkages, and social determinants of health. She has a solid foundation in survival analysis and structural equation modelling. Her research interests include population mental health, life course and multigenerational research.
Baojing is committed to making data-driven health research reproducible and actionable, and she is particularly interested in translating research results to guide prevention, treatment and intervention. She joined Red Door Analytics in June 2025.
Education
- PhD in Public Health Sciences, Stockholm University, Sweden, awarded in 2025 with a thesis titled: Misfortune (dis)continues across generations: Multigenerational studies linking socioeconomic and psychosocial disadvantages to psychiatric disorders
- MMSc in Global Health, Karolinska Institutet, Sweden, 2020
- BS in Global Health, Wuhan University, China, 2019
List of selected publications
- Baojing Li, Can Liu, Ylva B Almqvist, Lisa Berg. Psychiatric disorders following the clustering of family disadvantages in previous generations: a multigenerational cohort study. Social Psychiatry and Psychiatric Epidemiology 2025.
- Baojing Li, Can Liu, Ylva B Almqvist, Lisa Berg. Disentangling the multigenerational transmissions of socioeconomic disadvantages and mental health problems by gender and across lineages: Findings from the Stockholm Birth Cohort Multigenerational Study. SSM – Population Health 2023; 22 (101357).
- Baojing Li, Peter Allebeck, Bo Burstöm, Anna-Karin Danielsson, Louisa Degenhardt, Terje A Eikemo, Alize Ferrari, Ann Kristin Knudsen, Andreas Lundin, Hélio Manhica, John Newton, Harvey Whiteford, Pär Flodin, Hugo Sjöqvist, Emilie E. Agardh. Educational level and the risk of mental disorders, substance use disorders and self-harm in different age-groups: A cohort study covering 1,6 million subjects in the Stockholm region. International Journal of Methods in Psychiatric Research 2023; 32 (4).
