I design NLP-based tools that help us understand large document collections.
I am currently a Postdoctoral Researcher at MilaNLP, Bocconi University, in collaboration with Universidad Carlos III de Madrid (UC3M). I received my PhD in Signal Processing and Communications Engineering in November 2025 from UC3M, under the supervision of Jerónimo Arenas-García.
My doctoral work focused on the development of NLP methods for real-world needs — particularly the design of practical systems that industrialixe the use of topic models in applied settings within the Science, Technology, and Innovation (STI) domain, where analysts need to make sense of large document collections to support informed decision-making.
I am now working on TOLD, a project that explores voice-based data collection as a richer and more expressive alternative to written annotation in NLP — combining NLP with my signal processing roots — let's see where it leads!
Selected publications
Methodologically, my research sits at the intersection of NLP and human-computer interaction, with a focus on the design of task-oriented evaluation protocols, interactive systems for large-scale text exploration, and interfaces that enable domain experts to guide model behaviour.