Martin Heusel
Senior Applied Scientist at Zalando SE
Berlin Metropolitan Area Germany
Summary
👤
Senior🎓
Top SchoolMartin Heusel is a Senior Applied Scientist based in Berlin with 10+ years of experience bridging machine learning research and production engineering. He has a strong academic foundation—PhD-era research in the Sepp Hochreiter group and a Marie Curie fellowship—combined with industry impact at Zalando applying differentiable models to real-world problems. His background spans bioinformatics, chemoinformatics and time-series work (including early LSTM projects), reflecting an ability to translate complex models into useful tools for healthcare and commerce. Comfortable across research labs and engineering teams, he brings deep expertise in developing ML algorithms, data analysis pipelines and scientific software that endure in production. An interesting throughline in his career is long-term collaboration with both pharmaceutical partners and major e-commerce platforms, showing rare cross-domain fluency.
9 years of coding experience
21 years of employment as a software developer
Prediploma, Textile technology, Prediploma, Textile technology at Hochschule ReutlingenAbitur, Wirtschaftsgymnasium / Commercial High School, Abitur, Wirtschaftsgymnasium / Commercial High School at Theodor-Heuss Gymnasium ReutlingenDiploma (M.Sc equivalent), Computer Science, Diploma (M.Sc equivalent), Computer Science at Technische Universität BerlinKepler Gymnasium Tübingen
English, French, Japanese
Github Skills (31)
python10
data-science10
machine-learning10
generative-adversarial-network10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
rule10
pytorch9
scale9
lightning6
artificial-intelligence6
lifecycle6
Programming languages (3)
Github contributions (5)
mhex/Importance_Weights
Oct 2018 - Oct 2022
Applying Importance Weights to the PTB Language Model, Seq2Seq Machine Translation, and Neural GPU.
Contributions:1 PR, 4 pushes, 1 branch in 4 years 1 month
pytorchlanguage-modelimportanceseq2seqgpu
bioinf-jku/TTUR
Jun 2017 - Sep 2020
Contributions:1 review, 105 commits, 8 PRs in 3 years 3 months
pytorchruledeep-learninggenerative-adversarial-networkscale
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