Research Projects
Big data analytics to investigate the role of demographic factors in modulating the relationship between physical activities (PA) and women's cancer risk


Programme(s) to which this project applies:
☑ MPhil/PhD ☒ MRes[Med] ☒ URIS

Study 2 The role of demographic factors in modulating the relationship between PA and women's cancer risk

  1. How do demographic factors such as age, SES, and ethnicity modulate the relationship between PA and cancer risk in women?
  2. Which demographic factors are most strongly associated with the variations in the protective effects of PA on different cancer types?
  3. How can public health strategies be tailored to maximise cancer prevention benefits in women from diverse demographic groups?

Professor JD Zhou, Department of Family Medicine and Primary Care

Professor Jiandong Zhou is now working as an Assistant Professor at the Department of Family Medicine and Primary Care, and  he was jointly appointed by Department of Pharmacology and Pharmacy and the School of Public Health at the University of Hong Kong (HKU) Li Ka Shing Faculty of Medicine since 2024. Prof. Zhou 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 has research interests in big data analytics, medical statistics, primary care and preventive health, case-control and cohort studies, predictive and decision analytics, pharmacoepidemiology and aetiology of chronic diseases (including cardiovascular diseases, diabetes mellitus, etc. for family medicine patients). 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 non-invasive cancer screening.

 

Biography
HKU Scholars Hub
ORCID
jdzhou@hku.hk

For more information or to express interest for this project, please email the supervisor or the specified contact point in the project description.  Interested candidates are advised to enclose with your email:

  1. your CV,
  2. a brief description of your research interest and experience, and
  3. two reference letters (not required for HKUMed UG students seeking MRes[Med]/URIS projects).

Information on the research programme, funding support and admission documentations could be referenced online at the Research Postgraduate Admissions website. General admission enquiries should be directed to rpgmed@hku.hk.

HKUMed MBBS students interested in the Master of Research in Medicine (MRes[Med]) programme may visit the programme website for more information.  

HKUMed UG students interested in the Undergraduate Research Internship Scheme (URIS) may visit the scheme’s website for more information. 

Research @ Department of Family Medicine and Primary Care