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.
9 years of coding experience
13 years of employment as a software developer
Master Computer Science, Master Computer Science at Karlsruhe Institute of Technology (KIT)
Supplementary Subject Psychology, Supplementary Subject Psychology at Heidelberg University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Université de Fribourg - Universität Freiburg
Research Scholar, Research Scholar at CMU Silicon Valley
Repository for the deep-learning framework DIVA-DAF which is build with historical document image analysis in mind.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
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.