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.
8 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.), Master of Science (M.Sc.) at Eidgenössische Technische Hochschule Zürich
Bachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at Friedrich-Alexander-Universität Erlangen-Nürnberg
Dr. sc. ETH Zurich, Dr. sc. ETH Zurich at ETH Zürich
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