Caroline Weis

Senior AI ML Engineer For Biomedical AI at GSK

Zurich, Zurich, Switzerland
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Summary

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Senior
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Top School
Caroline Weis is a Senior AI/ML Engineer specializing in biomedical AI with nine years of experience bridging cutting-edge research and industry impact at GSK.ai. Currently pursuing a PhD in Machine Learning for Healthcare at ETH Zurich, she builds predictive models for antimicrobial resistance from MALDI-TOF mass spectrometry using topological data analysis, kernel methods and optimal transport. Her work also spans survival analysis on human genotypes and single-cell cancer data, reflecting a strong focus on personalized medicine and translational bioinformatics. At GSK she leads applied ML efforts that bring research-grade methods into production for real-world drug discovery and diagnostics. Known for combining rigorous theory with practical engineering, she keeps actively engaged with time-series EHR methods and graph/kernel research trends to inform her projects. Based in Zurich, she pairs deep academic training with hands-on industry experience to tackle clinically relevant ML problems.
code8 years of coding experience
job3 years of employment as a software developer
bookMaster of Science (M.Sc.), Master of Science (M.Sc.) at Eidgenössische Technische Hochschule Zürich
bookBachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at Friedrich-Alexander-Universität Erlangen-Nürnberg
bookDr. sc. ETH Zurich, Dr. sc. ETH Zurich at ETH Zürich
languagesGerman, English, French
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Github Skills (10)

quantile9
mass9
spectra9
prediction9
orange8
kernel7
machine-learning2
python2
mahjong1
data-science1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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BorgwardtLab/maldi_PIKE

Jan 2020 - Apr 2022

Code for 'Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra'
Contributions:8 commits, 2 PRs, 7 pushes in 2 years 2 months
kernelorangetofpredictionquantile
cvweis/cvweis.github.io

Jun 2023 - May 2024

Contributions:11 pushes, 1 branch in 10 months
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