I am a Ph.D. student interested in machine translation and natural language processing, advised by Prof. Dr. Sarah Ebling and Prof. Dr. Rico Sennrich. I am currently working on automatic sign language processing and translation as part of the Flagship IICT Project. I also study computer vision and sign language linguistics so as to cope with the visual-gestural nature of sign language.

Since August 2021, I have also been working as a scientific programmer on the SNSF project EVOPHON with Prof. Dr. Steven Moran. There I have developed some experience in phonetics, phonology, and audio processing.

I have a solid background in computer science and software engineering. For some years I was mainly engaged in Web development, which makes me experienced in topics including computer network, human-computer interaction, programming languages, Web accessibility, and rich-text editors.

Find me on Google Scholar.

• 2024/02: I gave a colloquium talk on Recent Developments in Sign Language Processing.
• 2024/02: Our resource paper "SwissSLi: the Multi-parallel Sign Language Corpus for Switzerland" was accepted at LREC-COLING 2024! The proceeding and the dataset release will follow soon.
• 2023/10: We published a new preprint SignBank+: Multilingual Sign Language Translation Dataset.
• 2023/10: Our paper Linguistically Motivated Sign Language Segmentation was accepted at EMNLP 2023 findings! A possible use case of the model is demonstrated in this Colab notebook.
• 2023/09: I attended the EASIER Autumn School: Sign language data meets data science – data science meets sign linguistics, a lot learned about sign language linguistics!
• 2023/09: I gave a talk on my ongoing Ph.D. work Towards realistic sign language translation at the SLIN (Sign Language in the Netherlands) workshop in Antwerp, nice to meet you all!
• 2023/08: I presented Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks as a poster at ICPhS 2023 in Prague.
• 2023/07: Our paper Considerations for meaningful sign language machine translation based on glosses received an Outstanding Paper Award at ACL 2023!  
• 2023/06: We released An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation and the paper appeared at the AT4SSL2023 @EAMT workshop.
• 2023/06: We released the training data for the WMT-SLT23 shared task.
• 2023/05: I presented Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting at the LoResMT @ EACL 2023 workshop in Dubrovnik, great thanks to the organizers! 
• 2023/04: Our paper Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks was accepted to ICPhS 2023!
• 2023/02: My first research paper Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting was accepted to EACL 2023 findings!
• 2022/12: The findings of the first WMT-SLT shared task (on sign language translation) (me as a co-organizer) were presented at WMT22, co-located with EMNLP 2022.
• 2022/11: I gave a talk on the preliminary work of Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks at the workshop Development and evolution of primate vocal communication in Neuchatel, Switzerland.
• 2022/04: I started my Ph.D. journey at University of Zurich!
• 2022/02: I finished my master's thesis project with  Dr. Mathias Müller and Amit Moryossef on Machine Translation between Spoken Languages and Signed Languages in Written Form. Heartfelt thanks to both!