
From Unstructured Text to User-Driven Cohorts: NLP-Powered Data Extraction and Cohort Building in IDEA4RC
Onsdag 21 maj 2025 10:30 - 10:50 A7
Föreläsare: Alberto Lavelli, Unai Zulaika
Spår: IDEA4RC Open@Vitalis - Technical track
Seminarietyp
Enbart på plats
Föreläsare
Alberto Lavelli Föreläsare
Unai Zulaika Föreläsare
Research Associate
University of Deusto
Dr. Unai Zulaika Zurimendi is an Associate Researcher at DeustoTech - Deusto Institute of Technology, part of the Faculty of Engineering at the University of Deusto, as well as a member of the DEUSTEK research group. He defended his doctoral thesis titled "Towards more interpretable graphs and Knowledge Graph algorithms" in 2022. This thesis is situated within the context of Artificial Intelligence, focusing on the explainability of models based on Graphs and Knowledge Graphs. He graduated in Computer Engineering from the University of Deusto in 2017 and later completed the Master’s Degree in Computer Engineering at the same university in 2019. Simultaneously, Unai began working as a Research Intern at DeustoTech in 2016, supporting tasks and completing his Bachelor’s and Master’s Final Projects within various national and European projects, such as WeLive (an H2020 project) and Foodbar.
Currently, his research focuses on Artificial Intelligence applied to the healthcare field, where Unai participates in several projects, including IDEA4RC, PROTECT-CHILD, and Inception. In these projects, he develops data models and Natural Language Processing algorithms aimed at leveraging data within ecosystems associated with healthcare.
Since 2022, Unai has complemented his research activities with teaching engagements at the Faculty of Engineering at the University of Deusto. He has taught several courses, including Intelligent Systems, Software Design and Development, and Algorithmics. Additionally, he contributes to other academic activities, such as supervising Bachelor’s Final Projects.