Heiko Horn
Postdoctoral Fellow at European Bioinformatics Institute | EMBL-EBI
United Kingdom
Summary
👤
Senior🎓
Top SchoolHeiko Horn is a computational biologist and postdoctoral fellow with eight years of experience designing and delivering integrative 'omics analyses that bridge sequencing, proteomics and network biology. He has developed predictive methods—such as KinomeXplorer and network-based cancer vulnerability predictors—that combine machine learning with protein interaction and pathway information to nominate novel tumor genes and dependencies. Heiko has led bioinformatics efforts across academia and industry (Broad Institute, MGH, Grey Wolf Therapeutics, EMBL-EBI), translating complex multi-omics datasets (bulk and single-cell RNAseq, linked-read, proteomics) into actionable insights for translational programs. Comfortable in UNIX/HPC and cloud environments, he builds reproducible pipelines (Snakemake, Docker, AWS) and practices software engineering disciplines like version control and testing. A collaborative mentor and occasional manager, he pairs hands-on coding in R, Python, C++ and Perl with designing validation experiments, reflecting a rare blend of computational rigor and experimental awareness.
8 years of coding experience
4 years of employment as a software developer
Bioinformatics, Bioinformatics at University of Applied sciences, Giessen-Friedberg
English, German
Github Skills (7)
evaluator6
letter1
privacy1
ios1
isbn1
scanning1
security1
Programming languages (2)
Github contributions (5)
genepattern/DAPPLE
Oct 2018 - Jan 2019
Disease Association Protein-Protein Link Evaluator (Broad hosted algorithm)
Contributions:10 commits, 8 pushes, 4 tags in 3 months
associationhostedgenepattern-moduleprotein-proteingparc
lagelab/quack
May 2018 - May 2018
Contributions:9 commits, 8 pushes, 1 branch in 6 days
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