Professor Zhou, Jiandong 周建棟
Professor Zhou, Jiandong 周建棟
- Medical statistics, case-control study designs, population cohort studies, casual effects analysis (propensity score matching, inverse probability weighting, Bayesian modeling, double machine learning), and cost-effectiveness for pharmacotherapy in family medicine patients.
- Health big data analytics for primary care of communicable and non-communicable diseases including liver injury, cardiovascular diseases, diabetes, hypertension, and renal failure.
- Illness trajectories and palliative care by identifying and visualizing disease progression patterns, conducting severe risk assessment, and developing non-invasive cancer screening tools.
- Multi-antibiotics resistance prediction with patient clinical characteristics, blood culture and sensitivity tests using machine learning.
Prof. Jiandong (Jayden) Zhou started working as an Assistant Professor at the Department of Family Medicine and Primary Care at the University of Hong Kong (HKU) Li Ka Shing Faculty of Medicine in 2024. Prof. Zhou is jointly appointed by School of Public Health and Department of Pharmacology and Pharmacy. He received his post-doctoral training as a Medical Statistician at the Nuffield Department of Clinical Medicine, University of Oxford, United Kingdom. He earned his Ph.D. in Data Science from School of Data Science, City University of Hong Kong, Hong Kong SAR, China. Before joining HKU, Prof. Zhou worked as Assistant Professor at Warwick Medical School, University of Warwick, United Kingdom.
Prof. Zhou's research interests include big data analytics, medical statistics, primary care and preventive health, case-control and cohort studies, predictive and decision analytics, pharmacoepidemiology and aetiology of communicable and non-communicable diseases. He also has study interests in casual treatment effects analysis (double machine learning), social epidemiology and adverse online events identification with text mining, high-dimension data representation and latent cluster pattern learning in large-scale health datasets. Recently, he is conducting machine learning analytics for illness trajectories and palliative care, especially progression pattern analysis/visualization, end stage risk assessment following chronic diseases, and health economics analysis about gastroenterology, infectious diseases and oncology.
Prof. Jiandong (Jayden) Zhou started working as an Assistant Professor at the Department of Family Medicine and Primary Care at the University of Hong Kong (HKU) Li Ka Shing Faculty of Medicine in 2024. Prof. Zhou is jointly appointed by School of Public Health and Department of Pharmacology and Pharmacy. He received his post-doctoral training as a Medical Statistician at the Nuffield Department of Clinical Medicine, University of Oxford, United Kingdom. He earned his Ph.D. in Data Science from School of Data Science, City University of Hong Kong, Hong Kong SAR, China. Before joining HKU, Prof. Zhou worked as Assistant Professor at Warwick Medical School, University of Warwick, United Kingdom.
Prof. Zhou's research interests include big data analytics, medical statistics, primary care and preventive health, case-control and cohort studies, predictive and decision analytics, pharmacoepidemiology and aetiology of communicable and non-communicable diseases. He also has study interests in casual treatment effects analysis (double machine learning), social epidemiology and adverse online events identification with text mining, high-dimension data representation and latent cluster pattern learning in large-scale health datasets. Recently, he is conducting machine learning analytics for illness trajectories and palliative care, especially progression pattern analysis/visualization, end stage risk assessment following chronic diseases, and health economics analysis about gastroenterology, infectious diseases and oncology.
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