Justin Hofenbitzer
Computational linguist · Doctoral researcher in clinical NLP
I study how linguistic variation across clinical specialties and between real and synthetic texts affects clinical natural language processing. My work focuses on German clinical language resources, text evaluation, and semantic annotation with SNOMED CT.
I am a doctoral researcher at the Chair of Medical Informatics, Institute for AI and Informatics in Medicine (AIIM), Technical University of Munich. In the GeMTeX consortium, I lead the semantic annotation work package and supervise the local annotation team.
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Research and Resources
GeMTeX: German Clinical Language Resources
GeMTeX brings together clinical documents from six German university hospitals. I develop SNOMED CT annotation guidelines and coordinate semantic annotation across the consortium.
Explore GeMTeX · Read about the corpus
GerMedIQ: Simulated and Synthetic Medical Interviews
GerMedIQ compares human-produced simulated responses with LLM-generated responses to German medical history questions. It provides data and evaluation resources for studying synthetic medical language.
Explore GerMedIQ · Access the data and code
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Get in Touch
Interested in clinical NLP, language resources, or semantic annotation? Contact me at justin.hofenbitzer@tum.de.