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 (12)
rna-seq5
driver5
deconvolution4
bioinformatics3
genome2
r2
cpp2
derive1
cas1
genomics1
deep-learning1
intervention1
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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