Mathias Müller

Mathias Müller is a postdoctoral researcher at the University of Zurich, where he works on sign language translation and natural language processing (NLP) with a focus on scientific integrity and accessibility. He collaborates with Sarah Ebling, Annette Rios, and others as part of the EU-funded project EASIER.

His research interests span

• Sign language processing
• Scientific reproducibility
• Robustness of NMT systems
• Teaching neural machine translation (NMT)
• Markup technologies (XML, XSLT, etc.)
• Phonetics and acoustics

His recent publications highlight trends in sign language translation, including multimodal approaches, gloss-based translation, and Signwriting integration. These works emphasize evaluation protocols and addressing bias in NLP systems.

Scientific awards include

• Outstanding Paper Award at ACL 2023
• Best Paper Award at AfricaNLP 2023
• Best Poster Award at Swisstext 2023

He advises students like Shester and collaborates with teams on NMT system development. His work is supported by a 4-year Bridge Postdoc grant funded by the University of Zurich's Digital Society Initiative (DSI).