We work at the intersection between knowledge representation and machine learning to push the boundaries of AI for Science. Our work emphasizes knowledge graphs, explainable AI, and trustworthy systems that can bridge data and knowledge-driven approaches. By transforming complex data into insights that are both reliable and explainable, we strive to support discoveries with real-world impact in health and environmental domains. Within LASIGE, our efforts are part of the Research Lines of Excellence in Health & Biomedical Informatics and Data and Systems Intelligence. Beyond research, we foster a collaborative and inclusive environment where students and researchers can advance their skills and careers while contributing to meaningful science.

Health and Biomedical Informatics

Data and Systems Intelligence