Dr. Ruibang Luo

Assistant Professor

Tel: (+852) 2859 2186
Fax: (+852) 2559 8447
Email: rbluo<at>

Ruibang Luo received his B.E. degree in bio-engineering, as the top graduate, from the South China University of Technology in 2010 and 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. Ruibang Luo is a researcher working on 1) bioinformatics algorithm, 2) precision medicine, 3) genome study, and 4) metagenomics. His research results have been published in peer-reviewed journals including Nature, Nature Biotechnology, Nature Communications, and Bioinformatics. He made the 2017 list of Forbes 30 Under 30 Asia in Healthcare and Science, and he made the 2019 list of Innovators Under 35 Asia Pacific by MIT Technology Review.

I'm looking for dedicated and self-motivated students and postdocs with passion in bioinformatics. If you enjoy deciphering biological and medical big data by writing up your own code to target for the best speed, sensitivity and accuracy, you might be interested in working with me. Please contact me through email with your CV.

Research Interests

Bioinformatics, Precision Medicine, Genome Study, Metagenomics, Health Informatics

Selected Publications

  • Luo et al., A multi-task convolutional deep neural network for variant calling in single molecule sequencing, Nature Communications 2019
  • Wu et al., RENET: A Deep Learning Approach for Extracting Gene-Disease Associations from Literature, RECOMB 2019
  • Li et al., MegaPath: Low-Similarity Pathogen Detection from Metagenomic NGS Data, ICCABS 2018
  • Lee et al., Transcriptome analysis of acute phase liver graft injury in liver transplantation, Biomedicines 2018
  • Mai et al., AC-DIAMOND v1: accelerating large-scale DNA–protein alignment, Bioinformatics 2018
  • Luo et al., First Draft Genome Sequence of the Pathogenic Fungus Lomentospora prolificans (formerly Scedosporium prolificans), G3: Genes, Genomics, Genetics 2017
  • Luo et al., LRSim: a Linked Reads Simulator generating insights for better genome partitioning, Computational and Structural Biotechnology 2017
  • Luo et al., 16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model, Oxford GigaScience 2017
  • Lee et al., Serine peptidase inhibitor, Kazal type 1 (SPINK1) as a novel downstream effector of the tumorigenic cadherin-17/beta-catenin axis in hepatocellular carcinoma, Cellular Oncology 2016
  • Luo et al., MICA: A fast short-read aligner that takes full advantage of Intel Many Integrated Core Architecture (MIC), BMC Bioinformatics 2015
  • Li et al., MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph, Bioinformatics 2015
  • Ou et al., a web application for interpreting human variations, Bioinformatics 2015
  • Cao et al., De novo assembly of a haplotype-resolved human genome, Nature Biotechnology 2015
  • Ramos et al., Exome sequencing of tumor cell lines: Optimizing for cancer variants, Cancer Research 2014
  • Luo et al., BALSA: integrated secondary analysis for whole-genome and whole-exome sequencing, accelerated by GPU, PeerJ 2014
  • 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

  • Advanced 3GS-based bioinformatics algorithms and a complete bioinformatics solution for clinical genetics, 2018-2020, ITF PiH/160/18, HKD 6.03M, Co-I
  • An Artificial Neural Network-based discriminator for validating clinically significant genomic variants, 2018-2021, ECS 27204518, HKD 550k, PI
  • An Artificial Neural Network based SNP and InDel Caller for Third-Generation Sequencing Data, 2018-2020, URC 201804159002, HKD 300k, PI