Michael Roach

Dr. Michael Roach serves as a Senior Research Fellow in Bioinformatics at Flinders University, holding dual affiliations with the College of Medicine and Public Health and the College of Science and Engineering. He is also a Full Member of the Flinders Health and Medical Research Institute, with an ORCID identifier of 0000-0003-1488-5148. His academic profile demonstrates significant research output with 30 publications documented in the university repository and an h-index of 10 based on Scopus citations.

Dr. Roach's research focuses primarily on bioinformatics approaches to microbiome analysis, with particular emphasis on metagenomics, genomics, and transcriptomics. His work spans multiple domains including bacteriophage research, gut microbiome analysis, viral metagenomics, and the development of bioinformatics tools for genomic data processing. His research contributes to UN Sustainable Development Goals related to public health and environmental sustainability.

Analysis of his recent publications reveals a strong trend toward software tool development for genomic and metagenomic analysis, with significant contributions in viral metagenomics, microbiome mapping, and sequencing platform validation. His work demonstrates interdisciplinary collaboration across computational biology, medical research, and environmental science, with applications in antimicrobial resistance, public health, and microbial ecology.

Dr. Roach serves as a Chief Investigator on the Flinders Microbiome Transdisciplinary Research Initiative (FMTRI), a major research project running from 2025-2030 with significant external engagement including coverage by multiple news outlets and social media platforms. His research has been cited in Scopus and has garnered attention across academic and public spheres.

His supervisory interests include Metagenomics, Genomics, and Bioinformatics, with registered research areas in Molecular biosciences and Medical biosciences. His research fingerprint shows strong expertise in bacteriophage (100%), prophage (93%), human microbiome (49%), microbiome (46%), transcriptomics (45%), Brettanomyces (45%), contig analysis (45%), and gut research (45%).