Xiaotao Jiang

Dr Xiaotao Jiang is a microbiome and antimicrobial resistance researcher at the Microbiome Research Centre, UNSW Sydney. He leads the antimicrobial resistance theme at the Centre and serves as the lead bioinformatician, leading a team of bioinformaticians across national and international microbiome collaborations. Dr Jiang's current leading research focuses on precision microbiome therapeutics, particularly AI-supported super donor selection for faecal microbiota transplantation. He leads a NSW Health Early-Mid Career grant as CIA to develop a multi-omics-based donor selection and donor matching platform for obesity and dementia. For the MRFF-supported Healthy Optimal Australian Microbiome project, he leads multi-omics analysis to define healthy microbiome states. His donor selection program aims to move FMT from empirical donor screening toward precision microbiome therapeutics. In antimicrobial resistance, Dr Jiang developed ARGs-OAP, a widely used bioinformatics platform for quantitative resistome profiling from shotgun metagenomic data. His AMR research now extends from surveillance to intervention, including AI-enabled discovery of novel antimicrobial peptides and One Health approaches to AMR monitoring. Dr Jiang completed his PhD at The University of Hong Kong, where he applied large-scale metagenomic sequencing to study activated sludge microbial ecology across spatial and temporal dimensions. His methodological interests include integrate AI, bioinformatics algorithms and software for next- and third-generation sequencing and multi-omics data, including metagenomics, metatranscriptomics, metabolomics, and host molecular datasets. Microbiome in health and diseases; Antimicrobial resistance; Virome; Bioinformatics and Next/Third-Generation Sequencing; Metagenomics; Artificial intelligence