In this talk, I will discuss computational and analytical challenges associated with single-cell RNA-seq analysis. In particular, we will discuss my laboratory's attempt to develop scalable computational tools to perform cloud-based data processing, dimensionality reduction, clustering, ad 3D virtual-reality-enabled visualization.
About the Speaker:
Dr. Ho is an Associate Professor in the School of Biomedical Sciences at the University of Hong Kong (HKU). Prior to joining HKU, he was the Head of Bioinformatics and Systems Medicine Laboratory at the Victor Chang Cardiac Research Institute in Sydney, Australia. Dr. Ho completed his BSc (Hon 1, Medal) and Ph.D. in Bioinformatics from the University of Sydney, and undertook postdoctoral research at the Harvard Medical School. His research focuses on developing fast and reliable bioinformatics methods to identify the genetic cause and mechanism of various human diseases using a range of approaches such as single-cell RNA-seq, ChIP-seq, whole genome sequencing, machine learning, systems biology, cloud computing, and software testing and quality assurance. Dr. Ho has over 70 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.