Xiao-tao Jiang is a lecturer and lead bioinformatician based in Sydney with 13 years’ experience developing computational methods to track antimicrobial resistance and decode the microbiome. He created the widely cited ARGs OAP tool for quantifying resistance genes from shotgun metagenomics and now leads the MRFF-funded Healthy Optimal Australian Microbiome (HOAM) project at UNSW. His work spans translational microbiome studies across cancers, COVID-19, maternal–infant health and chronic respiratory and gut diseases, combining field metagenomics roots with rigorous environmental science training (PhD, The University of Hong Kong). An experienced workshop instructor and collaborator, he bridges tool development, large-scale data analysis and public-health impact, often translating complex resistome signals into actionable insights for clinicians and environmental scientists.
13 years of coding experience
3 years of employment as a software developer
The University of Hong Kong (HKU)
Bachelor's degree, Bioinformatics, Bachelor's degree, Bioinformatics at Huazhong University of Science and Technology
Absolute quantification of metagenome and metatranscriptome
Contributions:50 commits, 1 PR, 55 pushes in 2 years 8 months
metagenomeabsolutequeryinganalysisbioinformatics
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