Joshua Oehms

Joshua Oehms is a Researcher at the Technical University of Munich (TUM) within the School of Computation, Information and Technology, specifically in the Department of Computer Science (I19 Software Engineering for Business Information Systems). He joined sebis in July 2024 and focuses on Natural Language Processing (NLP) applications in healthcare, conversational systems, and low-resource NLP tasks.

• B.Sc. and M.Sc. in Games Engineering from TUM
• Research expertise in text simplification and NLP for healthcare
• Teaching role as lecture organizer for "Software Engineering for Business Applications" (WS 24/25, Bachelor level)

His recent work addresses challenges in German text simplification through style-specific pre-training of language models, targeting scenarios with limited parallel data. He collaborates with external partners like MRI (Medical Research Institute) on automating medical literature screening processes.

Key technical skills include PyTorch/Keras, transformer models, and traditional information retrieval systems. Joshua actively supervises student thesis projects focusing on AI applications in healthcare contexts.