đžAbout me
Hi! đž Iâm Andrea, a postdoctoral researcher in Computer Science at the University of Granada and part of the UGRitai lab. I work at the intersection of Artificial Intelligence and Natural Language Processing, focusing on food, culture, and language. My research explores how AI can support healthier and more culturally-aware food systems â from building intelligent nutrition tools to adapting recipes across cultures. My work also addresses bias in language models, including sexism. During my PhD, I was a visiting Ph.D. student at the NLP section of the University of Copenhagen, supervised by Dr. Daniel Hershcovich.
Previously, I worked as a researcher in the H2020 Project Stance4Health, contributing to the design of an intelligent nutrition service. I also hold Master's degrees in Computer Engineering and Data Science from UGR, where I specialized in computing and intelligent systems, and a Bachelor's degree in Computer Science.
Scientific communication â I actively participate in scientific dissemination and outreach activities, including international conferences, AI workshops, and events for the general public such as the European Researchers' Night 2025. I am a co-organiser of PyData Granada, and have given talks at the national Python conference (PyConES), working to bring NLP closer to the open-source community.
Feel free to reach out to discuss research, collaborations, or ideas! đ
đ°Recent news
- Apr 2026 Paper accepted at ACL 2026 main conference: Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation.
- Jul 2025 Successfully defended my PhD thesis with cum laude!
- Apr 2025 Visiting PhD Student (3 months) at the NLP section of University of Copenhagen (KU). Check out our preprint!
- Jun 2024 Visiting PhD Student (3 months) at the NLP section of University of Copenhagen (KU).
- Jun 2024 Awarded in the UNIVERGEM Entrepreneurship for Business Ideas for the technological contributions I'm developing in my PhD thesis.
- Jun 2024 1st Runner-up at the SCIE-ZONTA-SNGULAR 2024 award, recognising contributions of women pursuing PhD studies in computer science.
đSelected publications
Journal papers
- Alzate, M., Vidaurreta-Apesteguia, P., Morales-Garzón, A., & Gutiérrez-Batista, K. (2026). Forecasting user perceptions of mHealth apps: AI-driven insights from large-scale user-generated content. Technological Forecasting and Social Change, 223, 124427.
- Morales-Garzón, A., Quiñones-Muñoz, A., Gutiérrez-Batista, K., & Martin-Bautista, M. J. (2026). A multimodal deep learning framework for nutritional estimation and health-oriented recipe analysis. Multimedia Systems, 32(2), 153.
- Morales GarzĂłn, A., Rojas Carvajal, A. M., Morcillo JimĂ©nez, R., MartĂn Bautista, M. J., GutiĂ©rrez Batista, K. (2025). Personalised healthy food text recommendations through fuzzy linguistic variables: A generative AI-based approach.
- Morales-Garzón, A., Peinado, P. S., Morcillo-Jimenez, R., Gutiérrez-Batista, K., & Martin-Bautista, M. J. (2025). Service-oriented multi-platform for food computing: A mobile application for recipe adaptation to nutrition behaviours (AI2Cuisine). Expert Systems with Applications, 281, 127603.
- Morales-Garzón, A., Gutiérrez-Batista, K., & Martin-Bautista, M. J. (2025). Adaptafood: an intelligent system to adapt recipes to specialised diets and healthy lifestyles. Multimedia Systems, 31(2), 87.
- Morales-GarzĂłn, A., GutiĂ©rrez-Batista, K., & Martin-Bautista, M. J. (2023). Link prediction in food heterogeneous graphs for personalised recipe recommendation based on user interactions and dietary restrictions. Computing, 1â23.
Conference papers
- Morales-GarzĂłn, A., Morcillo-JimĂ©nez, R., GutiĂ©rrez-Batista, K., & Martin-Bautista, M. J. (2024). User-Friendly Health-Conscious Recipe Adaptation System Using Fuzzy Linguistic Variables. In IPMU 2024 (pp. 82â93). Springer.
- Morales-GarzĂłn, A., Rocha, O. A., Ramirez, S. B., Casquino, G. T., & Medina, A. Healthy cooking with large language models, supervised fine-tuning, and retrieval augmented generation. In LatinX in AI Workshop at NAACL.
- Morales-GarzĂłn, A., SĂĄnchez-PĂ©rez, G. M., Sierra, J. C., & Martin-Bautista, M. J. (2023). The Promise of Query Answering Systems in Sexuality Studies: Current State, Challenges and Limitations. In FQAS 2023 (pp. 39â49). Springer.
- Morales-GarzĂłn, A., Morcillo-Jimenez, R., GutiĂ©rrez-Batista, K., & Martin-Bautista, M. J. (2023). How Tasty Is This Dish? Studying User-Recipe Interactions with a Rating Prediction Algorithm and Graph Neural Networks. In FQAS 2023 (pp. 107â117). Springer.
đGrants and awards
Grants
- Postdoctoral fellowship funded by the Internal Research and Transfer Program of the University of Granada (2025â2026)
- Doctoral fellowship funded by the Department of Economic Transformation, Industry, Knowledge and Universities of the Junta de AndalucĂa (2022â2026)
- Research initiation fellowship for MSc Students of the University of Granada (2019â2021)
Awards
- First Honorable Mention, SCIEâZONTAâSNGULAR Awards (2024). Recognises contributions of women pursuing doctoral studies in computer science. Organised by SCIE, ZONTA International, and SNGULAR.
- Special Mention, Hackathon SOMOSNLP (2023). Awarded for the development of large food corpora.
- Ateneo de GranadaâUnicaja Foundation Award (2023, Scientific and Technical Research category). Recognises outstanding young talent from Andalusia.
- Business Idea Award (UNIVERGEM Program, 2023). Granted by the Vice-Rectorate for Social Innovation, Employability and Entrepreneurship of UGR and the Andalusian Institute for Women.
- 3MT (Three Minute Thesis) Competition Finalist, University of Granada (2024). Selected for effectively communicating doctoral research in 3 minutes to a general audience.
- Selected Oral Presentation, Forum for Equality in Research (2021, UGR). Sole presentation selected in the Scientific and Technical Research category.
- Best academic record at the MSc in Computer Engineering, University of Granada (2019/2020)
- Best master thesis at the MSc in Computer Engineering, University of Granada (2019/2020)
đŹProjects
Pre-competitive projects as PI
- Artificial Intelligence Techniques for Nutritional Guidance and Education (PI: Andrea Morales GarzĂłn). Funded by CITIC-UGR.
- DESIRE: DEep learning for expert-driven applications in the SexualIty REsearch field (PI: Andrea Morales GarzĂłn). Funded by UGR.
- HeathIA: Applications of Artificial Intelligence in Health (PI: Andrea Morales GarzĂłn). Funded by CITIC-UGR.
đSupervision
Internships
- Melek Ben Selma â Erasmus+ research intern, University of Sousse (Tunisia).
Master's thesis
- Hossam E. L. â MedicalExplAIner: Evaluation of Large Language Models for ESI triage prediction in emergency departments. MSc in Data Science and Computer Engineering, University of Granada (June 2026).
- Alejandro C. B. â Integration of LLMs, RAG and Knowledge Graphs for Personalized Dietary Recommendations. MSc in Data Science and Computer Engineering, University of Granada (June 2026).
- Alejandro R. P. â Multimodal classification models based on Generative AI. MSc in Data Science and Computer Engineering, University of Granada (September 2025).
- Miguel Ăngel B. A. â LLMs for automatic detection of sexist language on social media. MSc in Data Science and Computer Engineering, University of Granada (September 2025).
Bachelor's thesis
- Mario L. Q. â Information system for healthy nutrition. Co-supervised with MarĂa JosĂ© MartĂn Bautista (June 2024).
- RaĂșl M. A. â Support application for the generation of clinical reports. Co-supervised with Carlos JesĂșs FernĂĄndez Basso (June 2025).
- Jose M. R. O. â Microservices-based platform for multimodal data processing with Artificial Intelligence. Co-supervised with MarĂa JosĂ© MartĂn Bautista (September 2025).
- Linqi Z. â Healthy nutrition information system for professional use. Co-supervised with MarĂa JosĂ© MartĂn Bautista (June 2025).
- Amadeo M. S. â Knowledge extraction and representation on healthy nutrition using artificial intelligence. Co-supervised with MarĂa JosĂ© MartĂn Bautista (November, 2025).
- Ăngel S. G. â AI application for the management and visualization of clinical records. Co-supervised with Carlos JesĂșs FernĂĄndez Basso (November, 2025).