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Lucía Prieto Santamaría is a PhD student at the Medical Data Analysis Laboratory (MEDAL) in the Center for Biomedical Technology (CTB) of the Technical University of Madrid (UPM). She holds a Bachelor’s degree in Biotechnology (with two-years specialization in computational itinerary) and a Master’s degree in Computational Biology, both from UPM. Her research areas and expertise include medical knowledge representation and biomedical informatics, with a central role for applied semantic technologies and machine learning techniques. She has been researching at MEDAL since October 2017 and she has mainly contributed to DISNET project, focusing on the creation of the network’s biological layer, the disease similarities computation and the generation of new nosological models. She has also worked in CUREX project by creating a NLP module for the structuration of networks topology texts and modeling the ontology to represent data semantically. She has attended to 2 scientific conferences and is coauthor of 2 JCR-indexed journal articles and 3 conference papers.