Paul Märgner

Lead Artificial Intelligence at Galenica

Bern, Bern, Switzerland
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Summary

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Senior
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Top School
Paul Märgner is a Lead Artificial Intelligence with nine years of experience, currently heading Galenica’s internal AI/ML development team and shaping its Data & AI strategy and governance. He holds a PhD and a Master’s in computer science and brings deep hands-on expertise across NLP, speech recognition, and document image analysis from roles in industry and academia. Paul has led multilingual language-model projects at Nuance and sponsored PhD research at the Swiss National Science Foundation, combining rigorous research with product-focused delivery. He is passionate about responsible, sustainable AI and excels at translating technical capabilities into clear business decisions for stakeholders. Having worked in Germany, the USA, and Switzerland, he mixes international perspective with a track record of publications, a patent, and conference presentations that bridge research and real-world impact.
code9 years of coding experience
job13 years of employment as a software developer
bookMaster Computer Science, Master Computer Science at Karlsruhe Institute of Technology (KIT)
bookSupplementary Subject Psychology, Supplementary Subject Psychology at Heidelberg University
bookDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Université de Fribourg - Universität Freiburg
bookResearch Scholar, Research Scholar at CMU Silicon Valley
languagesGerman, English
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Github Skills (2)

python7
machine-learning6

Programming languages (1)

Python

Github contributions (5)

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DIVA-DIA/SkeletonGraph

Mar 2021 - Mar 2021

Contributions:8 commits, 5 pushes, 1 branch in 1 day
DIVA-DIA/DIVA-DAF

Apr 2021 - Dec 2021

Repository for the deep-learning framework DIVA-DAF which is build with historical document image analysis in mind.
Contributions:208 commits in 8 months
unsupervisedpythonmachine-learningmain-repo
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