María Ángeles García Asensio is a Doctor in Hispanic Philology (Spanish Language) and Professor in the Department of Hispanic Philology, Theory of Literature and Communication at the University of Barcelona's Faculty of Information and Audiovisual Media. She teaches undergraduate courses in Audiovisual Communication and serves as a member of the Estudis del Discurs Acadèmic i Professional (EDAP) research group. Her office is located at Melcior de Palau, 140, 08014 Barcelona, office 314. Her research focuses on the linguistic and pragmatic analysis of expert (academic and professional) discourse, with particular emphasis on discourse generated in digital and audiovisual communication techniques, persuasive communication, and optimization of specialized written texts. She has conducted significant research on clear language in tax administration and judicial communication, examining how institutions can improve citizen understanding of complex administrative documents. Her publication record demonstrates a clear trend toward interdisciplinary research connecting linguistics with public administration, tax systems, and judicial processes. She has consistently published on the application of linguistic principles to improve communication between government institutions and citizens, particularly in Spanish tax administration contexts. Her work bridges theoretical linguistics with practical applications in real-world communication challenges. She has been actively involved in service-learning projects, particularly those connecting Audiovisual Communication students with Medical students to create educational content for public health awareness. This includes projects on antibiotic use, diabetes treatment, and other medical topics requiring clear communication to the public. Her research methodology combines discourse analysis with pragmatic approaches to examine how language functions in professional contexts, particularly focusing on how specialized discourse can be made more accessible to non-experts while maintaining necessary precision.