Felix Frauhammer
Principal Investigator Computational Biology
Heidelberg, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolFelix Frauhammer is a computational biologist and Principal Investigator at GSK with 11 years of experience applying machine learning and statistical methods to single-cell RNA-seq and immunology data. He combines a strong academic background from Heidelberg and DKFZ with hands-on bioinformatics, biostatistics, and R package development cultivated during his PhD and subsequent industry roles. At GSK he moved from computational biologist to PI, driving interdisciplinary projects that bridge wet-lab insight and scalable computational analysis. Felix is comfortable across methods—from graph-based clustering and Naive Bayes to deep learning—and brings practical infrastructure skills from early work in Linux administration and pipeline development. Outside of work he balances family life with ongoing contributions to single-cell analysis workflows, reflecting a pragmatic focus on reproducible, impact-driven research.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Molecular Biotechnology, 1.2, Master of Science - MS, Molecular Biotechnology, 1.2 at Heidelberg University
Github Skills (36)
classification-algorithm10
genomics8
cran8
single-cell-genomics8
network-graph8
igraph7
bioinformatics7
mathematics7
grammar7
wolfram-language7
regression6
dplyr6
parser6
graph-algorithms6
random-walk6
Programming languages (4)
Github contributions (5)
FelixTheStudent/cellpypes
Mar 2021 - Dec 2022
Cell type pipes for R
Contributions:2 releases, 197 commits, 4 PRs in 1 year 8 months
pipesclassification-algorithmcelltype-annotationscrnaseqsingle-cell-rna-seq
anders-biostat/sc_methods
Jul 2018 - Jun 2019
Contributions:39 pushes in 10 months
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