Sven Giese
Machine Learning Researcher at Bayer
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolSven Giese is a Machine Learning Researcher based in Berlin with 10 years of experience applying statistics and ML to bioinformatics, molecular design, and multi-modal biological data. He specializes in antibody and nanobody engineering—affinity maturation, humanization, zero-shot optimization and language-model fine-tuning—combining NLP, physics-based tools and proteinMPNN to drive lead optimization. At Bayer he translates NGS, proteomics and biochemical assays into robust ML-guided workflows and production-grade software, and his academic background includes a PhD and postdoc focused on mass-spectrometry analytics and computational statistics. Colleagues describe him as an engineer who insists on high standards and clear communication with wet-lab experts, enabling rapid iteration between models and experiments. An often-overlooked strength is his track record of turning methodological research (including published NGS/statistics work) into practical pipelines for real-world biological problems.
10 years of coding experience
1 year of employment as a software developer
Master, Bioinformatics, Master, Bioinformatics at Freie Universität Berlin
German, English
Github Skills (76)
forge10
prediction10
conda10
folding10
conda-forge9
self-contained9
bioinformatics9
protein-structure9
tty9
tpm9
cli8
mass-spectrometry8
clustering8
python8
deep-learning8
Programming languages (7)
Github contributions (5)
gieses/xls2moodle
Nov 2017 - Mar 2021
Creating moodle quizes from XLS files.
Contributions:2 releases, 5 PRs, 20 pushes in 3 years 4 months
xlsquizesmoodlexls-filesexcel
Rappsilber-Laboratory/xiRT
May 2020 - Jan 2022
Multi-Dimensional Retention Time Prediction for Linear and Crosslinked Peptides
Contributions:9 releases, 332 commits, 55 PRs in 1 year 8 months
multi-dimensionalretention-timepredictiondeep-learningdimensional
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