About me
I hold a PhD in Computer Science from the University of Granada (UGR), where I am part of the IdBIS research group and currently work as a postdoctoral fellow.
My research lies at the intersection of Artificial Intelligence (AI) and Natural Language Processing (NLP), with a focus on:
(1) developing intelligent systems for health and nutrition applications,
(2) addressing the challenges of heterogeneous and multimodal data, and
(3) detecting and mitigating biases and sexism in language models.
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. My academic path began with a Bachelor's degree in Computer Engineering, where I discovered my passion for machine learning, data analysis, and their real-world applications.
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 2022. I have also been a workshop leader and invited speaker at the national Python conference (PyConES) and at PyData-Granada, sharing my research with the open-source Python community.
Journal papers
- Gutiérrez Batista, K., Martín Bautista, M. J., Morcillo Jiménez, R., Morales Garzón, A., & Rojas Carvajal, A. M. (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.
- Morales-Garzón, A., Gómez-Romero, J., & Martin-Bautista, M. J. (2021). A Word Embedding-Based Method for Unsupervised Adaptation of Cooking Recipes. IEEE Access, 9, 27389-27404.
Conference papers
- Morales-Garzón, A., Morcillo-Jiménez, R., Gutiérrez-Batista, K., & Martin-Bautista, M. J. (2024, July). User-Friendly Health-Conscious Recipe Adaptation System Using Fuzzy Linguistic Variables. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 82-93). Cham: Springer Nature Switzerland.
- Morales-Garzón, A., Rocha, O. A., Ramirez, S. B., Casquino, G. T., & Medina, A. (s. f.). Healthy cooking with large language models, supervised fine-tuning, and retrieval augmented generation. Proceedings of the LatinX in AI Workshop at NAACL.
- Morales-Garzón, A., Sánchez-Pérez, G. M., Sierra, J. C., & Martin-Bautista, M. J. (2023, September). The Promise of Query Answering Systems in Sexuality Studies: Current State, Challenges and Limitations In International Conference on Flexible Query Answering Systems (pp. 39-49). Cham: Springer Nature Switzerland.
- Morales-Garzón, A., Morcillo-Jimenez, R., Gutiérrez-Batista, K., & Martin-Bautista, M. J. (2023, September). How Tasty Is This Dish? Studying User-Recipe Interactions with a Rating Prediction Algorithm and Graph Neural Networks In International Conference on Flexible Query Answering Systems (pp. 107-117). Cham: Springer Nature Switzerland.
- Morales-Garzón, A., Gómez-Romero, J., & Martin-Bautista, M. J. (2022, July). Contextual sentence embeddings for obtaining food recipe versions In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
- Morales-Garzón, A., Gómez-Romero, J., & Martin-Bautista, M. J. (2021, April). Semantic-aware transformation of short texts using word embeddings: An application in the Food Computing domain. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (pp. 148-154).
Grants
Awards
- First-Honorable mention, SCIE–ZONTA–SNGULAR Awards (2024). Recognises contributions of women pursuing doctoral studies in computer science. Organised by SCIE, ZONTA International (Madrid Km0 & Málaga clubs), 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. Recognised for strong potential for industrial transfer and real-world application.
- 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, University of Granada, Scientific and Technical Research category). Sole presentation selected in this category.
- Award for the best academic record at the MSc in Computer Engineering of the University of Granada (Academic year 2019/2020)
- Award for the best master thesis at the MSc in Computer Engineering of the University of Granada (Academic year 2019/2020)
Pre-competitive projects as PI
