Chen Zhan

Dr Chen Zhan is a computational biomedical researcher working at the intersection of data science, artificial intelligence and health research. His expertise spans bioinformatics, genomics, statistical modelling, machine learning and the analysis of complex biomedical and real-world health data. His work focuses on developing rigorous and interpretable computational approaches that support biological discovery, clinical research and evidence-based healthcare. Chen holds a PhD in Computer and Information Science and a Master's degree in Software Engineering. His doctoral research developed computational methods for detecting adverse drug event signals from prescription and pharmacovigilance data, establishing a foundation in pharmacoepidemiology, medication safety and large-scale health data analysis. He has since applied his interdisciplinary expertise across computational biology, responsible AI and data-intensive biomedical research. Bioinformatics and computational biology, Machine learning, Artificial Intelligence, Statistical data science

[2025] Mangiola, S., Brown, R., Zhan, C., Berthelet, J., Guleria, S., Liyanage, C., . . . Pal, B. (2025). Circulating immune cells exhibit distinct traits linked to metastatic burden in breast cancer. Breast Cancer Research, 27(1), 73-1-73-17. [2024] Zhan, C., Joksimovi'c, S., Ladjal, D., Rakotoarivelo, T., Marshall, R., & Pardo, A. (2024). Preserving Both Privacy and Utility in Learning Analytics. IEEE Transactions on Learning Technologies, 17, 1655-1667. [2024] Deho, O. B., Liu, L., Li, J., Liu, J., Zhan, C., & Joksimovic, S. (2024). When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models. IEEE Transactions on Learning Technologies, 17, 1007-1020. [2023] Zhan, C., Blessed Deho, O., Zhang, X., Joksimović, S., & de Laat, M. (2023). Sy