Professor Luo, Ruibang

Associate Professor

Tel: (+852) 2859 2186
Fax: (+852) 2559 8447
Email: rbluo [AT] cs [DOT] hku [DOT] hk


Luo received his Ph.D. degree in computer science from the University of Hong Kong in 2015. He was a postdoctoral fellow in the Center of Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine. Luo is a researcher working on 1) bioinformatics algorithm, 2) precision medicine, 3) metagenomics, and 4) medical informatics. His research results have been published in peer-reviewed journals including Nature, Nature Biotechnology, Nature Machine Intelligence, Nature Communications, and Bioinformatics.


Selected Publications

[HKU Scholars in the Top 1%, 2019-2023]

  • Ou et al., HKG: An open genetic variant database of 205 Hong Kong Cantonese exomes, NAR Genomics and Bioinformatics 2022
  • Li et al., Building a Chinese pan-genome of 486 individuals, Communications Biology 2021
  • Xie et al., The applications and potentials of nanopore sequencing in the (epi)genome and (epi)transcriptome era, The Innovation 2021
  • Luo et al., SARS‐CoV‐2 biology and variants: anticipation of viral evolution and what needs to be done, Environmental Microbiology 2021
  • Su et al., RENET2: High-Performance Full-text Gene-Disease Relation Extraction with Iterative Training Data Expansion, NAR Genomics and Bioinformatics 2021
  • Luo et al., Exploring the limit of using a deep neural network on pileup data for germline variant calling, Nature Machine Intelligence, 2020
  • Luo et al., A multi-task convolutional deep neural network for variant calling in single molecule sequencing, Nature Communications 2019
  • Luo et al., 16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model, Oxford GigaScience 2017
  • Li et al., MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph, Bioinformatics 2015
  • Cao et al., De novo assembly of a haplotype-resolved human genome, Nature Biotechnology 2015
  • Xie et al., SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads, Bioinformatics 2014
  • Luo et al., SOAP3-dp: Fast, Accurate and Sensitive GPU-based Short Read Aligner, PLoS ONE 2013
  • Zhang et al., Oyster genome reveals stress adaptation and shell formation complexity, Nature 2012
  • Luo et al., SOAPdenovo2: An empirically improved memory-efficient short-read de novo assembler, Oxford GigaScience 2012
  • Li et al., Structural variation in two human genomes mapped at single-nucleotide resolution by whole genome de novo assembly, Nature Biotechnology 2011
  • Li et al. , Building the sequence map of the human pan-genome, Nature Biotechnology 2010

Recent Research Grants

  • 2022-5, Industrial donation to support general research, PI,  Oxford Nanopore Technologies
  • 2021-4, RGC GRF, PI, "Cancer mutation detection using Single Molecule Sequencing"
  • 2021-23, ITF PRP, Co-PI, "Cardiovascular risk prediction model for patients on lipid modifying drugs"
  • 2021-23, ITF ITSP Platform Project, Co-PI, "Towards a Fully-Automated Karyotype Analysis for Detecting Chromosomal Abnormality via Intelligent Bioinformatics and Image Analysis"
  • 2021-6, RGC TRS, Co-PI, "Assess antibiotic resistome flows from pollution hotspots to environments and explore the control strategies"
  • 2019-4, RGC TRS, Co-I, "Fighting Disease Recurrence and Promoting Tissue Repair after Liver Transplantation: Translating Basic Discoveries to Clinical Excellence"
  • 2018-21, ITF ITSP Platform Project, Co-I, Advanced 3GS-based bioinformatics algorithms and a complete bioinformatics solution for clinical genetics
  • 2018-21, RGC ECS, PI, An Artificial Neural Network-based discriminator for validating clinically significant genomic variants

Department of Computer Science
Rm 301 Chow Yei Ching Building
The University of Hong Kong
Pokfulam Road, Hong Kong

Copyright © Department of Computer Science, Faculty of Engineering, The University of Hong Kong. All rights reserved.

Privacy Policy
Don't have an account yet? Register Now!

Sign in to your account