Diego Brambilla
PHD Fellow at UiT- The Arctic University of Norway
Lombardy, Italy
Summary
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Senior🎓
Top SchoolDiego Brambilla is a PhD fellow and molecular ecologist with eight years of experience specializing in high-throughput sequencing and metagenomics to characterize microbial communities across soils, lake sediments and ancient reindeer bones. He blends strong bioinformatics expertise — including reproducible pipelines, Nextflow, and HPC workflows — with growing wet-lab skills that span DNA extraction to sequencing for palaeogenomic and eDNA projects. His current PhD at UiT focuses on the domestication history of reindeer in Fennoscandia, combining molecular data with multivariate ecology to inform sustainable reindeer husbandry and tundra governance. Previously he coordinated metagenomic analyses of resistance genes and developed ampliseq pipelines for national biodiversity infrastructure, showing a track record of translating methods into reusable infrastructure. Fluent in international collaboration, he pairs rigorous academic training (MSc with honors and professional habilitation) with a practical bent for reproducible research. A life enthusiast fascinated by nature, he brings curiosity-driven interdisciplinary thinking to questions at the intersection of microbes, ecosystems and human history.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Biology, 110 cum laude /110, Master's degree, Biology, 110 cum laude /110 at Università degli Studi di Milano-BicoccaBiologist Habilitation, 195/200, Biologist Habilitation, 195/200 at Università degli Studi di Pavia
Github Skills (31)
test-data10
testing10
nextflow10
immunology10
microbiome10
pipeline10
sequencing10
bioinformatics10
illumina10
metagenomics10
nf-core9
genomics8
marker8
normalization7
genome7
Programming languages (5)
Github contributions (5)
DiegoBrambilla/biomakefiles
Mar 2018 - Dec 2021
Library makefiles for various bioinformatic tools.
Contributions:4 PRs, 20 pushes, 1 branch in 3 years 9 months
bioinformaticsmakefilesgenomics
DiegoBrambilla/16S_normalization
Jun 2020 - May 2021
Script for the normalization of relative abundance out of DIAMOND default output (BLOSUM62 matrix) through a formula that relies on the 16S marker gene.
Contributions:1 release, 6 PRs, 37 pushes in 10 months
markerrelative16snormalizationgene
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