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Dr Muhammad Abdullah

Name Muhammad Abdullah
Position Research Fellow (Genomics)
Section School of Science, Engineering and Digital Technologies
Office P22113
Location Toowoomba Campus
Phone +61 7 4631 1992
Extension 1992
Email
Qualifications PhD University of Queensland

Biography

I am a bioinformatician and computational genomics researcher specializing in plant genomics, genetics, and agricultural data science. My research focuses on genome assembly, genome annotation, pangenome analysis, genetic diversity, comparative genomics, structural variation, variant discovery, population genomics, and genomic prediction to support crop improvement and sustainable agriculture.

My expertise includes bioinformatics, data science, Python and R programming, high-performance computing (HPC), and the development of automated genomic analysis workflows. I work extensively with long-read sequencing technologies, including PacBio HiFi and Oxford Nanopore sequencing, to generate high-quality genome assemblies and conduct downstream genomic analyses. I am particularly interested in applying artificial intelligence, machine learning, and statistical genomics approaches to improve genomic data analysis, variant interpretation, and plant breeding outcomes.

Research Career


  • Agricultural Molecular Engineering Of Nucleic Acids And Proteins ( 300103 )
  • Plant Cell And Molecular Biology ( 310803 )
  • Forest Health And Pathology ( 300704 )
  • Plant Biology ( 310800 )
  • Agricultural Biotechnology ( 300100 )
  • Forestry Sciences ( 300700 )

Fields of Research (FoR)
• Plant Genomics (310108)
• Bioinformatics (310102)
• Plant Genetics (310107)

Plant genomics, bioinformatics, genome assembly, comparative genomics, structural variation, crop genetics, disease resistance, heat stress, plant–microbiome interactions, and multi-omics integration for crop improvement.


Collaborative research with plant breeding, genomics, and agricultural biotechnology programs in Australia.
Research partnerships with government, university, and industry stakeholders in crop genomics, bioinformatics, and agricultural innovation.
Application of genomics and data science approaches to support crop improvement, disease resistance, and sustainable agricultural systems.


  • Centre for Crop Health (CCH)