Research Projects
Scalable Big Data Analytics for Healthcare Translation


Programme(s) to which this project applies:

☑ MPhil/PhD ☒ MRes[Med] ☒ URIS
About the Project

A range of specific PhD projects can be developed within the broad theme of scalable big data analytics for healthcare translation, including:

  1. Scalable processing of single cell and spatial omic data
  2. Human gut microbiome analysis using metagenomic data
  3. Digital health technology using smartphone and wearable devices
  4. Transferrable and interpretable AI methods for large omic and digital health data

All these projects involve development or application of advanced computational or statistical methods to process diverse biomedical big data. Modern techniques such as cloud computing, artificial intelligence, machine learning, and virtual reality are integral elements in all these projects.

About the Supervisor

Dr JWK Ho, School of Biomedical Sciences

Dr Ho is an Associate Professor in the School of Biomedical Sciences at the University of Hong Kong (HKU). He completed his BSc (Hon 1, Medal) and PhD in Bioinformatics from the University of Sydney, and undertook postdoctoral training at the Harvard Medical School. Prior to joining HKU, Dr Ho was the Head of Bioinformatics and Systems Medicine Laboratory at the Victor Chang Cardiac Research Institute, in Sydney Australia. His research focuses on developing and applying cutting-edge computational methods for single cell RNA-seq analysis, metagenomics, and digital health. Dr Ho has over 100 publications, including first or senior papers in leading journals such as Nature, Genome Biology, Nucleic Acids Research and Science Signaling. Dr Ho is also currently the Academic Lead of the Bioinformatics Core of the Centre for PanorOmic Sciences (CPOS) at HKU. He is an Executive Editor of the journal Biophysical Reviews.

Biography
jwkho@hku.hk

Next Step?

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.