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Scalable big data analytics for healthcare translation

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

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 data
2. Microbiome analysis using large-scale metagenomic data
3. Application of mobile health and wearable devices for disease risk prediction

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). Dr Ho completed his BSc (Hon 1, Medal) and PhD in Bioinformatics from the University of Sydney, and undertook postdoctoral research at the Harvard Medical School. His research focuses on advanced bioinformatics technology, ranging from scalable single cell analytics, metagenomic data analysis, and digital healthcare technology (such as mobile health, wearable devices, and healthcare artificial intelligence). Dr Ho has over 80 publications, including first or senior-author papers in leading journals such as Nature, Genome Biology, Nucleic Acids Research and Science Signaling. His research excellence has been recognized by the 2015 NSW Ministerial Award for Rising Star in Cardiovascular Research, the 2015 Australian Epigenetics Alliance’s Illumina Early Career Research Award, and the 2016 Young Tall Poppy Science Award.

Related Subjects

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