Programme(s) to which this project applies:
|☑ MPhil/PhD||☒ MRes[Med]||☒ URIS|
A range of specific PhD projects can be developed within the broad theme of scalable big data analytics for healthcare translation, including:
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.
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.
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:
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 firstname.lastname@example.org.
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.