Michael Roach

Senior Research Fellow In Bioinformatics

Adelaide, South Australia
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Summary

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Michael Roach is a Senior Research Fellow in Bioinformatics with eight years of applied experience building high-performance genomics and metagenomics software for HPC environments. He has led notable projects including assembling the Chardonnay genome, developing the widely adopted Purge Haplotigs pipeline for diploid assembly cleanup, and creating a rapid-development framework for bioinformatics tools that improved usability and maintenance. His work spans drug discovery, yeast genomics, and cutting-edge Single Cell and Spatial-Omics, and has been recognized with the Torsten Seemann Outstanding Bioinformatics Software Developer Award (2022). Combining a strong experimental background from a PhD in drug discovery with hands-on structural modelling and software engineering, he translates complex biological problems into robust, production-ready pipelines. Based in Adelaide, he balances research with interests in brewing (BCJP-certified judge), cycling, and music, reflecting a practical curiosity that fuels both his science and tooling work.
code8 years of coding experience
job4 years of employment as a software developer
bookBachelor of Biotechnology (Hons), Bachelor of Biotechnology (Hons) at Flinders University
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Github Skills (39)

snakemake10
package-management10
conda10
bioinformatics10
illumina10
sequence10
bioconda10
pipeline9
genomics8
metagenomics8
python8
datasets8
taxonomy7
journal7
blast7

Programming languages (8)

ShellRCSCSSJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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beardymcjohnface/Koverage

Apr 2023 - May 2024

Quickly get coverage statistics given reads and an assembly
Contributions:12 releases, 1 review, 68 PRs in 1 year
beardymcjohnface/Nektool

Aug 2022 - Jan 2023

Cookiecutter profile for making a NextFlow-based bioinformatics tool
Contributions:36 commits, 3 PRs, 31 pushes in 5 months
pythonbioinformatics-toolnextflowbioinformaticscookiecutter
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Michael Roach - Senior Research Fellow In Bioinformatics