Amandine Velt
Bioinformatics Engineer
Colmar, Grand Est, France
Summary
👤
Senior🎓
Top SchoolAmandine Velt is a bioinformatics engineer with nine years’ experience building and operating NGS analysis pipelines and web-based visualization tools for research and clinical settings. Based at INRAE in Colmar, she specializes in RNA-seq and diploid genome assembly, developing reproducible Snakemake workflows, Dockerized Shiny applications, and performing statistical analyses in R and Python. Her background spans platform-scale pipeline integration (Galaxy/GenomEast), sequencing run management for diagnostics, and Linux server administration, giving her both production and quality-control expertise. She also authored a practical Python for Data Science book, reflecting a talent for translating complex methods into usable tools and clear documentation. Notably, she combines hands-on scripting (Bash, Perl, Python) with pipeline orchestration to make high-throughput data accessible to biologists.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Bioinformatics, Master's degree, Bioinformatics at Université de RouenBachelor's degree, Biology, General, Bachelor's degree, Biology, General at Faculté de Médecine de Nancy
English, French
Github Skills (69)
seq10
rna-seq10
genomics9
bioinformatics9
python-bindings9
sequencing9
ncbi8
fm-index8
unzip7
sequence-alignment7
infectious-diseases7
shinyproxy6
blast6
bioconda6
compile6
Programming languages (8)
Github contributions (5)
a-velt/Mfuzz_RNAseq
Nov 2016 - Dec 2016
Contributions:29 commits, 28 pushes, 2 branches in 20 days
a-velt/great_shiny_app
Jan 2019 - Mar 2019
Contributions:1 release, 74 pushes, 1 branch in 1 month
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