Maxime Hebrard

Team Lead at Garvan Institute of Medical Research

Sydney, New South Wales, Australia
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Summary

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Senior
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Maxime Hebrard is a team lead and computational biologist with 11 years’ experience designing cloud-native genomics platforms and building usable analysis and visualization tools. He has led national-scale initiatives in Singapore and Australia, architecting distributed compute and storage for projects analyzing tens of thousands of genomes while managing cross-institutional interoperability and GA4GH-aligned data access. Equally comfortable in wet‑lab models and production software, he combines a PhD in bioinformatics with hands-on work in SNP-chip, WES and single-cell pipelines, data QC, and bespoke algorithm development. Maxime prioritizes user-friendly interfaces that bring complex computation to scientists and clinicians, having shipped web visualizations and gnomAD-like resources. Based in Sydney, he runs and mentors engineering teams to ensure technical and operational readiness of large genomics ecosystems. An uncommon strength is his ability to translate deep biological problems into scalable, auditable software solutions that support national precision‑medicine programs.
code11 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at Université Montpellier I
bookMaster of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at Université des Sciences et Techniques du Languedoc (Montpellier II)
bookBachelor's degree, Physics, Bachelor's degree, Physics at Lycée Joffre
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163reputation
14kreached
2answers
6questions
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Github Skills (122)

dataflow10
slurm10
svg10
genomics10
reproducible-science10
singularity10
charts10
nextflow10
html10
data-visualization10
lts10
genetics10
reproducible-research10
visualization10
gwas10

Programming languages (16)

JavaCSSCNextflowPerlHTMLJupyter NotebookGroovy

Github contributions (5)

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mhebrard/nms-browser

Oct 2020 - Nov 2021

Contributions:7 releases, 5 reviews, 17 PRs in 1 year 1 month
Deploy an EMR cluster with Spark - JupyterHub - Hail - VEP on AWS using CloudFormation service.
Contributions:8 releases, 18 PRs, 29 pushes in 1 year 1 month
hailemremr-clustersparkvep
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