Søren Heidelbach

Aalborg, North Denmark Region
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Summary

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Søren Heidelbach is a PhD student at Aalborg University's Albertsen Lab with five years of experience at the intersection of biotechnology and computational methods. He develops unsupervised deep learning approaches for metagenomic binning, uniquely leveraging raw Nanopore signal from modified DNA to improve genome reconstruction. Grounded in a strong academic background in biotechnology (BSc and MSc from AAU), he blends wet-lab understanding with hands-on machine learning to tackle noisy long-read data. Based in Aalborg, Denmark, Søren focuses on translating signal-level insights into practical bioinformatics tools, aiming to make modified-base-aware binning robust for real-world microbial communities.
code5 years of coding experience
bookMaster's degree, Biotechnology, 11.8, Master's degree, Biotechnology, 11.8 at Aalborg Universitet
languagesDanish, English
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Github Skills (18)

package-management10
conda10
bioinformatics10
bioconda10
metagenomics10
genomics8
libtorch6
nvidia-docker4
genomes4
microbiome3
cuda3
pytorch3
minhash3
bacteria2
sequencing2

Programming languages (5)

RC++ShellRustPython

Github contributions (5)

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Nanomotif - a tool for identifying methylated motifs in metagenomic samples
Contributions:32 releases, 25 reviews, 83 PRs in 1 year 4 months
dna-methylationmetagenomicsmotif-analysisnanopore
SorenHeidelbach/miscR

Nov 2020 - Jul 2023

Contributions:11 pushes, 1 branch in 2 years 8 months
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Søren Heidelbach