Tingyan (Tina) Wang
Brief Biography:
I started doing postdoctoral research in the Barnes group in October 2018 after getting my Ph.D. degree at Tsinghua University. During my Ph.D. career, I studied incorporating temporal information into predictive modeling for multi-disease risks and disease progression of patients. Most of my work has been focused on patients’ electronic health records analysis and risk predictive modeling by leveraging statistics, machine learning and deep learning techniques.
Research interests:
Healthcare analytics, medical informatics, disease risk prediction, longitudinal data analysis, patient care process analysis. My current research focuses on Hepatitis B, Liver Cancer, Natural Language Processing.
Current project:
The NIHR Health Informatics Collaborative (HIC) Programme.
The Thames Valley and Surrey Secure Data Environment (TVS SDE) Programme.
Recent publications
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Liver, cardiovascular and metabolic factors as predictors of all-cause mortality in a rural Ugandan Cohort
Campbell C. et al, (2025)
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Can large language models replace standardised patients?
Han W. et al, (2025), Med Educ
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Reply to: “Understanding virologic heterogeneity in chronic hepatitis B treatment”
Matthews PC. et al, (2025), JHEP Reports, 7, 101280 - 101280
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Hepatitis B Virus (HBV) treatment eligibility in the UK: retrospective longitudinal cohort data to explore the impact of changes in clinical guidelines
Campbell C. et al, (2024)
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Distinct virologic trajectories in chronic hepatitis B identify heterogeneity in response to nucleos/tide analogue therapy
Wang T. et al, (2024), JHEP Reports, 101229 - 101229