Dr Gabriella Shi Qiaoxin is a public health researcher specialising in physical activity epidemiology, genetic epidemiology, and chronic disease risk prediction modeling. She completed her PhD at the School of Public Health of the University of Hong Kong. During her doctoral studies, she undertook a joint training programme as a visiting researcher at the MRC Epidemiology Unit, University of Cambridge.

She holds dual Bachelor's degrees in both Medicine and Economics from Peking University, where she graduated with honours. Prior to her doctoral studies, she gained multidisciplinary experience through internships in clinical medicine, public health policy at the national level, and healthcare investment analysis.

Dr Shi's primary research integrates large-scale population cohort data, objective wearable device measurements, and genetic information to investigate the complex interplay between modifiable behaviours and genetic susceptibility in the development of cardiometabolic diseases. Her methodological expertise is particularly strong in two key areas: compositional data analysis (CoDA) and advanced risk prediction modeling.

She possesses significant proficiency in Compositional Data Analysis for physical activity epidemiology, expertly handling the co-dependency of time-use behaviours. Her work involves using isotemporal substitution models to precisely quantify how reallocating time between these behaviours associates with disease risk, a nuanced approach that moves beyond traditional analyses. In the domain of predictive model development, Dr Shi has substantial experience in building, testing, and validating novel lifestyle-genetic integrated risk models. Her skill set encompasses the entire modeling pipeline, rigorous internal and external validation, and comprehensive performance evaluation. This expertise is directly applied to create clinically informative tools for predicting the risk of coronary heart disease. She has disseminated her findings through first-author and co-first-author publications in high-impact peer-reviewed journals and has consistently presented at premier international conferences.

1. Shi Q, Jang H, Collings PJ, Wang M, Chen Z, Luo S, et al. Different Intensities of Physical Activity Substituted for Sedentary Time and Risk of Type 2 Diabetes: Integration of Genetics and Wearable Data. Mayo Clinic Proceedings. DOI: 10.1016/j.mayocp.2025.04.033
2. Shi, Q. (co-first author), Jang, H. (co-first author), Wang, M., Au Yeung, S.L., Luo, S., Wan Y.K., Sharp, S.J., Brage, S., Wareham, N.J., & Kim, Y. (In Press) Development, testing and comparison of novel lifestyle-based prediction models for risk of coronary heart disease. Scientific Reports.
3. Chen, G., Zhou, S., Shi, Q., Xun, Y., Fong, T. L., Xiong, R., ... & Chan, K. K. (2025). Global, regional, and national estimates of burden and risk factors of female cancers in child-bearing age: A systematic analysis for Global Burden of Disease Study and Bayesian projection to 2030. Translational Oncology, 60, 102473.
4. Kim, Y., Jang, H., Wang, M., Shi, Q., Strain, T., Sharp, S. J., ... & Brage, S. (2024). Replacing device‐measured sedentary time with physical activity is associated with lower risk of coronary heart disease regardless of genetic risk. Journal of Internal Medicine, 295(1), 38-50.
5. Chen, Z., Collings, P. J., Wang, M., Jang, H., Shi, Q., Ho, H. S., ... & Kim, Y. (2025). Muscle Strength, Genetic Risk, and Type 2 Diabetes Among Individuals of South Asian Ancestry: A UK Biobank Study. Journal of Diabetes, 17(4), e70074.
6. Wang, M., Collings, P. J., Jang, H., Chen, Z., Shi, Q., Ho, H. S., ... & Kim, Y. (2025). Prospective associations between muscle strength and genetic susceptibility to type 2 diabetes with incident type 2 diabetes: a UK Biobank study. BMC medicine, 23(1), 93.
7. Yuan, W., Jiang, J., Song, S. S., Liu, J., Chen, M., Shi, Q., ... & Ma, J. (2024). The association of breastfeeding duration on metabolic syndrome among children and adolescents, stratified by birth weight for gestational age. Pediatric Obesity, 19(8), e13145.
8. Wang T, Li Q, Liu H, Shi Q, Yang F, Zhang B, Ahmed F, Jian W, Guo J. Gender difference in the relationship between personality traits and changes in depressive symptoms before and after the COVID-19 outbreak: A follow-up study among Chinese adults. Journal of Affective Disorders. 2023 Apr 1;326:49-56.
9. Fu M, Huang N, Hall BJ, Shi Q, Shahid M, Guo J. Does the attribution of responsibilities modify the relationship between coping styles and mental health? A survey of Chinese adults during the COVID-19 pandemic. Journal of Health Psychology. 2022 Aug;27(9):2211-26.