NLP · research engineering · multilingual systems
Alberto Muñoz-Ortiz
I hold a PhD in Computer Science from the LyS group at Universidade da Coruña, with a thesis on Natural Language Processing. Based in Lausanne, Switzerland.
My work focuses on efficient, robust, and interpretable language models, especially in multilingual, low-resource, and non-standard language settings.
Available immediately. I am looking for Research Engineer and Applied Scientist roles in NLP and LLMs across Switzerland (based in Lausanne), on-site, hybrid, or remote.
Expertise
Structured NLP
I have worked on nested named entity recognition and other problems where linguistic structure can be turned into practical modeling decisions. See my single-pass nested NER method (Findings of EMNLP 2025).
Multilingual and non-standard language modeling
I have studied transfer across language varieties and modeling in settings where standard resources are limited or language use is non-standardized. See my work on pixel language models for non-standardized languages (COLING 2025).
LLM analysis and evaluation
I have worked on autoregressive transformers, linguistic probing, and the comparison between human and model-generated text.
Reproducible ML experimentation
I build experiments with Python, PyTorch, Hugging Face, Docker, and GPU-based workflows for training, evaluation, and iteration. Code and experiment setups on GitHub.
Selected work
Research stays
I was also a visiting researcher at the MaiNLP Research Lab at LMU Munich and at the NLP Lab at EPFL Lausanne.
Publications
I have first-authored papers at ACL, EMNLP, COLING, IJCNLP-AACL, and RANLP.