Biography
Siwei (he/his) is a PhD candidate in Health Data Science at Dr Angela Wood lab, funded by Trinity Cambridge Research Studentship (TCRS). Before joining the Cambridge, he completed his Master in Population Health track at Johns Hopkins University Bloomberg School of Public Health. Siwei is a statistician, with an interest in using explainable machine learning to develop risk prediction models and support clinical decision and public health policy, among areas of cardiovascular disease and oncology.
Research
Health Data Science; Machine Learning; Biostatistical Methods; Public Health; Cardio-Oncology; Rheumatology; Maternal and Child Health
Publications
• Xie S, Huang J, Qu H, Feng Z, Wang X, Du Z et al. Nutritional management adherence via an ePRO platform in patients with cancer: a machine learning model study. eClinicalMedicine 2025; 85. doi:10.1016/j.eclinm.2025.103330
• Xie S, Xiao L, Huang H, Chen D, Guo H, Jain A. Attention-augmented stockwell transform and convolutional neural network framework for electroencephalogram-based multi-class classification of Frontotemporal Dementia. Information Fusion 2025; 123: 103267.
• Xie S, Du S, Huang Y, Luo Y, Chen Y, Zheng Z et al. Evolution and effectiveness of bilateral and multilateral development assistance for health: a mixed-methods review of trends and strategic shifts (1990-2022). BMJ Global Health 2025; 10: e017818.
• Xie S, Zhang L, Zhang Y, Zheng Z, Li J, Zhou S. Global, regional, and national burden of ischemic heart disease and ischemic stroke and their risk factors in youths and young adults aged 15–39 years (1990–2021): a comparative analysis of risk factors from global burden of disease study 2021. Global Health Action 2025; (Accept; online soon)
• Liang Y*, Xie S*, Zheng X, Wu X, Du S, Jiang Y. Predicting higher risk factors for COVID-19 short-term reinfection in patients with rheumatic diseases: a modeling study based on XGBoost algorithm. Journal of Translational Medicine 2024; 22: 1144.
• Zhou S*, Xie S*, You B, Xiang D, Fang W, Trisolini MG et al. Comparative Benefits of Primary Percutaneous Coronary Intervention Versus Onsite Fibrinolytic for Patients With ST‐Segment–Elevation Myocardial Infarction: A Quasi‐Experimental Study. Journal of the American Heart Association; 0: e041995.
• Liu Y*, Xie S*, Lin Z, Zhao C. Enhancing predictions of subclinical cardiac dysfunction in SLE patients through integrative machine learning analysis. Lupus Science & Medicine. 2025;12:e001616. https://doi.org/10.1136/lupus-2025-001616 More publications please refer to the ORCID: 0009-0000-1602-2296. (*: Co-First Author)
