Summary
Thorben Schomacker is a lecturer and researcher based in Hamburg who applies AI to make German texts more accessible, a focus he pursues in his doctoral work. With nine years of experience spanning IT services, research software development, and teaching, he combines practical Python engineering with hands-on experience training large language models for Easy Language translation. Since 2024 he has taught Data Science courses at HAW Hamburg while contributing to digital humanities projects and research groups like minds-hh and Formulae-Litterae-Chartae. He publishes and presents academic work, bridging rigorous scientific communication with applied tooling for accessibility. Notably, his profile reflects sustained involvement in the German easy-to-read community, blending technical depth with real-world impact on inclusion.
9 years of coding experience
Doktor (Ph.D.) Informatik, Doktor (Ph.D.) Informatik at University of Hamburg
Master of Science - MS Informatik, Master of Science - MS Informatik at Hamburg University of Applied Sciences
German, English