Ana Laura Lezama Sánchez is a postdoctoral researcher with expertise in the development of Artificial Intelligence models for biomedical and healthcare applications. She holds a PhD in Language and Knowledge Engineering from the Benemérita Universidad Autónoma de Puebla (BUAP), where her doctoral research focused on topic discovery in news-domain text corpora. She is currently a Candidate-Level Researcher in the Mexican National System of Researchers (Sistema Nacional de Investigadoras e Investigadores, SNII). Her research focuses on the development of Artificial Intelligence methodologies for knowledge extraction, complex data analysis, and decision support, with particular emphasis on medical and healthcare applications. Her main research areas include Data Science, Data Mining, Natural Language Processing (NLP), Machine Learning, Deep Learning, Ontologies, Information Retrieval, Computer Vision, and Artificial Intelligence for healthcare. Her current research interests and emerging research directions include Sentiment Analysis, Named Entity Recognition (NER), Semantic Relation Extraction, Semantic Role Labeling (SRL), Knowledge Graphs, Large Language Models (LLMs), Generative Artificial Intelligence, and the development of educational and scientific video games. She is the author and co-author of scientific publications in Journal Citation Reports (JCR)-indexed journals, Scopus-indexed journals, science communication publications of international conferences.