Healthcare Big Data and Pharmacy Research

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The Department of Pharmacology and Pharmacy at The University of Hong Kong excels in big data- and artificial intelligence (AI)-enabled health and medical research, harnessing large-scale real-world and biomedical data to advance pharmacoepidemiology, medication safety, drug effectiveness, and precision medicine. This line of work integrates population-based electronic health records, multinational databases, omics data, and advanced computational tools to generate actionable insights for clinical practice and public health.


Key integrated research areas include:

  • Real-world data-driven pharmacoepidemiology and pharmacovigilance.
  • AI and machine learning methodology and applications.
  • Real-world data-driven pharmacoepidemiology and pharmacovigilance.
  • Big-data-enabled precision and personalized medicine.

This multidisciplinary portfolio positions the department as a leader in data-driven pharmacology, translating vast healthcare datasets and AI innovations into improved therapeutic strategies, enhanced patient outcomes, and policy-relevant evidence in an era of AI and digital health transformation.

Principal Investigators
Prof-Joe-Blais_Research_Area
Professor
Joseph Edgar BLAIS
Prof-Esther-Chan_Research_Area
Professor
Esther W. Y. CHAN
Prof-CL-Cheung_Research_Area
Professor
C.L. CHEUNG
Prof-Francisco-LAI_Research_Area
Professor
Francisco T.T. LAI
Prof-Shirley-Li_Research_Area
Professor
Shirley Xue LI
Prof-Eric-Wan_Research_Area
Professor
Eric Y.F. WAN
Prof-Ian-Wong_Research_Area
Professor
Ian C.K. WONG
Prof-Edmund-Yiu_Research_Area
Dr. Edmund H.H. YIU
Prof-Qingpeng-Zhang_Research_Area
Professor
Qingpeng ZHANG
Prof-Jayden-Jiandong-Zhou_Research_Area
Professor
Jian Dong ZHOU