Maximilian Sprang
Leading Bioinformatician Junior Group Leader
Rhineland-Palatinate, Germany
Summary
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Senior🎓
Top SchoolMaximilian Sprang is a leading bioinformatician and junior group leader at UMC Mainz with nine years of experience applying machine learning to functional genomics and quality control of NGS data. He completed a PhD on ML-driven QC for RNA/ChIP/DNase/ATAC-seq—during which his team identified a novel technical artifact akin to batch effects—and co-developed seqQscorer, an automated QC tool. His work spans omics modalities from methylation arrays to proteomics, and he combines hands-on Python/R analysis with HPC-accelerated workflows on the Mogon cluster. Previously at DFKI he explored biologically informed neural networks and now builds generative models for biological sequences in collaboration with industry partners. Colleagues describe him as a pragmatic researcher who bridges rigorous statistic-driven insight with deployable AI tools for translational immunology and lab-data integration.
9 years of coding experience
5 years of employment as a software developer
Doctor of Science, Bioinformatics, summa cum laude, Doctor of Science, Bioinformatics, summa cum laude at Johannes Gutenberg-Universität Mainz
Github Skills (26)
aircrack-ng7
android-ndk7
rna-seq6
xposed6
seq6
bioinformatics5
monitor5
injection5
computational-biology4
frame4
compile3
genomics3
assembly3
deconvolution3
timer3
Programming languages (5)
Github contributions (5)
salbrec/seqQscorer
Nov 2020 - Jun 2024
Contributions:3 PRs, 11 pushes, 3 branches in 3 years 7 months
Muedi/IRF4-in-Treg-and-Th17
Sep 2023 - Jan 2025
Contributions:1 release, 5 pushes, 1 branch in 1 year 4 months
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