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Scalable big data analytics for healthcare translation


School of Biomedical Sciences

Applications accepted all year round Funded PhD Project (Students Worldwide)

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.

Supervisor
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.

Faculty information, funding opportunities and application deadlines: https://www.findaphd.com/phds/program/biomedical-research-hku-li-ka-shing-faculty-of-medicine/?i586p4119

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