Research Projects
Leveraging big data to identify risk factors and therapeutic targets for diabetic and cardiovascular diseases


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

With the establishment of multiple databases in Hong Kong and other regions around the world, alongside the advancements in AI and machine learning, the identification and verification of risk factors and therapeutic targets for diabetic and cardiovascular diseases through big data analysis have become achievable. This project centers on data research driven by clinical and epidemiological concepts, encompassing open public databases, self-owned databases, multi-omics data, and more. We invite individuals with a robust background in epidemiology and biostatistics to join us.  

Dr L Geng, Department of Medicine

Dr. Peter Geng, State Key Laboratory of Pharmaceutical Biotechnology, Department of Medicine, School of Clinical Medicine

HKU Scholars Hub
ORCID
llgeng@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 Medicine