Matthias Scholz

Senior Research Scientist In Bioinformatics

Trentino – Alto Adige/Südtirol, Italy
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Summary

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Senior
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Top School
Matthias Scholz is a senior research scientist in bioinformatics with 12 years of experience developing computational tools for strain-level metagenomics and integrating machine learning, network science, and nonlinear PCA into microbial ecology. Based in Trentino–Alto Adige, he leads bioinformatics research at Fondazione Edmund Mach after postdoctoral roles at Università di Trento and Greifswald, and a PhD-focused career at the Max Planck Institute. His work blends methodological innovation with applied studies of bacterial evolution and spread—such as Wolbachia in insects—and the influence of diet on gut microbiomes to inform human health. Matthias has a computer science background from Humboldt University and a track record of producing reusable computational pipelines and tools that bridge sequencing, metabolomics, and ecological network analysis. He is active in the research community (ORCID, academic site, and Twitter) and routinely translates complex high-dimensional data into actionable biological insights. An underappreciated strength is his ability to connect environmental metagenomics with nutrition science, revealing cross-disciplinary opportunities for intervention.
code12 years of coding experience
bookDiplom, Computer Science, Diplom, Computer Science at Humboldt University of Berlin
languagesEnglish, German
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Github Skills (8)

bioinformatics9
profiling8
composition8
shotgun5
sequencing4
genomics3
metagenomics2
python2

Programming languages (1)

Python

Github contributions (3)

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SegataLab/panphlan

Apr 2015 - Sep 2017

PanPhlAn is a strain-level metagenomic profiling tool for identifying the gene composition of individual strains in metagenomic samples
Contributions:192 commits in 2 years 5 months
compositionindividualprofilingstrainstrain-level
Contributions:40 commits, 5 pushes, 1 branch in 6 years
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