Hi! I’m Alberto Muñoz-Ortiz, a PhD student in Natural Language Processing at the LyS group at Universidade da Coruña in A Coruña, Spain. My doctoral research is supervised by David Vilares and Carlos Gómez-Rodríguez. I’m currently focused on writing my thesis dissertation and actively seeking a job in industry from September/October 2025.

My core research focuses on innovative data-efficient approaches to enhance NLP system performance, particularly in low-resource environments. I achieve this by leveraging techniques such as transfer learning, novel representations, synthetic data generation, and the integration of linguistic information, particularly syntactic dependencies.

Beyond my core NLP research, I’m deeply interested in how deep learning can address challenges in science and medicine, specifically by augmenting human capabilities where our intuition might fall short. I believe that AI research should prioritize increasing our collective problem-solving capacity, tackling issues we can’t solve alone, rather than merely automating or accelerating existing processes.

Previously, I was a visiting researcher at the MaiNLP Research Lab at LMU in Munich, Germany, hosted by Barbara Plank during the summer of 2023. Together with Barbara and Verena Blaschke, we explored the use of pixel-based models to transfer knowledge from Standard German to German non-standard varieties.

More recently, I visited the NLP Lab at EPFL in Lausanne, Switzerland, from October 2024 to March 2025. There, hosted by Antoine Bosselut and Gail Weiss, we explored the grokking phenomenon in autoregressive transformers and the importance of basic facts in training data for model generalization.