Marc Horlacher
Machine Learning Researcher at Bayer
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolMarc Horlacher is a machine learning researcher and bioinformatician with eight years of experience applying statistical and deep learning methods to biomolecular sequence analysis. He completed a Dr. rer. nat. in Informatics at TUM and has driven PhD-era research on nucleotide-resolution protein–RNA interaction prediction, benchmarking diverse deep models, and modeling host–viral interactions in SARS-CoV-2. Marc has blended academic rigor with industry impact through roles at Helmholtz, MILA, and currently Bayer, and he routinely produces production-ready tools in Python and R. His work spans theory and practice—from novel model development and rigorous benchmarking to mentoring students and deploying data infrastructures for genomics. Based in Berlin, he combines strong statistical foundations with hands-on software engineering and an uncommon track record of visiting collaborations with leaders like Yoshua Bengio and Ole Winther.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Bioinformatics, 1.3, Master of Science - MS, Bioinformatics, 1.3 at Freie Universität BerlinDr. rer. nat., Informatics, Dr. rer. nat., Informatics at Technical University of Munich
Github Skills (171)
gist10
snakemake10
python10
datasets10
deep-learning10
speech10
ml10
neural-network10
code-sharing10
data-science10
tensorflow10
pytorch10
machine-learning10
deep-neural-networks10
markdown9
Programming languages (8)
Github contributions (5)
mhorlacher/igrads
Jun 2021 - May 2022
Contributions:29 commits, 24 pushes, 4 branches in 10 months
mhorlacher/metamotif
Sep 2021 - Jan 2024
Contributions:29 pushes, 4 branches, 3 tags in 2 years 4 months
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