About me

Hi! 🌸 I’m 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 — 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 — 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! 😊

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.

Older news →

Selected 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 Garzón, A., Rojas Carvajal, A. M., Morcillo Jiménez, R., Martín Bautista, M. J., Gutiérrez 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-Garzón, A., Gutiérrez-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, 1–23.

Conference papers

• Morales-Garzón, A., Morcillo-Jiménez, R., Gutiérrez-Batista, K., & Martin-Bautista, M. J. (2024). User-Friendly Health-Conscious Recipe Adaptation System Using Fuzzy Linguistic Variables. In IPMU 2024 (pp. 82–93). Springer.
• Morales-Garzón, 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-Garzón, A., Sánchez-Pérez, 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. 39–49). Springer.
• Morales-Garzón, A., Morcillo-Jimenez, R., Gutiérrez-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. 107–117). Springer.

Grants and awards

Grants

• Postdoctoral fellowship funded by the Internal Research and Transfer Program of the University of Granada (2025–2026)
• Doctoral fellowship funded by the Department of Economic Transformation, Industry, Knowledge and Universities of the Junta de Andalucía (2022–2026)
• Research initiation fellowship for MSc Students of the University of Granada (2019–2021)

Awards

• First Honorable Mention, SCIE–ZONTA–SNGULAR 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 Granada–Unicaja 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)

Pre-competitive projects as PI

• Artificial Intelligence Techniques for Nutritional Guidance and Education (PI: Andrea Morales Garzón). Funded by CITIC-UGR.
• DESIRE: DEep learning for expert-driven applications in the SexualIty REsearch field (PI: Andrea Morales Garzón). Funded by UGR.
• HeathIA: Applications of Artificial Intelligence in Health (PI: Andrea Morales Garzón). Funded by CITIC-UGR.