Published several journal papers, such as 'Personalised healthy food text recommendations through fuzzy linguistic variables: A generative AI-based approach' and others; awarded in the UNIVERGEM Entrepreneurship for Business Ideas and got the 1st Runner-up SCIE-ZONTA-SNGULAR 2024 award; organized and participated in multiple international conferences and workshops, including European Researchers' Night, PyConES, PyData-Granada, etc.
Research Experience
Worked as a researcher in the H2020 Project Stance4Health, contributing to the design of an intelligent nutrition service; Visiting PhD Student at the NLP section of the University of Copenhagen (KU); Visiting scholar in the ML group of Laboratoire Hubert Curien for Domain Adaptation techniques in NLP.
Education
PhD in Computer Science from the University of Granada (UGR), advisor unknown; Master's degrees in Computer Engineering and Data Science from UGR; Bachelor's degree in Computer Engineering from UGR.
Background
Research interests lie at the intersection of Artificial Intelligence (AI) and Natural Language Processing (NLP), with a focus on: developing intelligent systems for health and nutrition applications, addressing the challenges of heterogeneous and multimodal data, and detecting and mitigating biases and sexism in language models.
Miscellany
Actively participates in scientific dissemination and outreach activities, including international conferences, AI workshops, and events for the general public.