Stephanie Herman is a Senior Data Scientist based in Uppsala, Sweden, with 10 years’ experience applying mass spectrometry, metabolomics and machine learning to R&D problems in life sciences. After a PhD in Clinical Bioinformatics from Uppsala University, she progressed from academic mass-spec pipelines and cloud integration to industry roles developing AI/ML models for drug discovery and proteomics at Cytiva and Pelago Bioscience. Her work blends hands-on analytical chemistry knowledge with scalable data science—turning complex MS and CETSA datasets into actionable trends and target-engagement insights. Known for building reproducible pipelines and modeling schemes, she brings both experimental empathy and production-aware modelling to cross-functional teams. A less obvious strength is her background as a study coach and educator, which she leverages to communicate technical results clearly across scientific and business stakeholders.
10 years of coding experience
6 years of employment as a software developer
Research Summer School, Research Summer School at Stockholm University
Doctor of Philosophy - PhD Clinical bioinformatics, Doctor of Philosophy - PhD Clinical bioinformatics at Uppsala University
Contributions:57 commits, 2 PRs, 41 pushes in 7 days
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