Catia Pesquita
Scholar

Catia Pesquita

Google Scholar ID: 8nGYegMAAAAJ
LASIGE, Informática, Faculdade de Ciências, Universidade de Lisboa, Portugal
AI for ScienceKnowledge GraphsBioinformaticsOntology Matching
Citations & Impact
All-time
Citations
2,493
 
H-index
28
 
i10-index
58
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Published in top venues including IJCAI 2025, ECAI 2024, ISWC 2023, KR 2023, BMC Bioinformatics
  • Key projects:
  • - CancerScan (2025–2028): EiC Pathfinder project on patient-specific tumor digital twins (WP Leader, Team Leader)
  • - KGELL (2025–2029): COST Action on integrating LLMs with Knowledge Graphs (Management Committee Member)
  • - TrustAI4Sci (2024–2025): Google & FCT-funded project on trustworthy AI explanations for scientific discovery
  • - KATY (2021–2025): H2020 project on AI-powered personalized cancer medicine (WP Co-leader, Team Leader)
  • Developed tools and ontologies:
  • - SPOc-KG: Semantic Knowledge Graph for Personalized Oncology
  • - KGsim-benchmark: Benchmark for Biomedical KG-based semantic similarity
  • - AML: Ontology matching system
  • - Epidemiology Ontology
Background
  • Associate Professor in Computer Science at the University of Lisbon, Researcher at LASIGE
  • Vice-Director of LASIGE and leads the Health and Biomedical Informatics Research Line
  • Multidisciplinary background in Biology and Computer Science
  • Leads the LiSeDa Lab, conducting research at the intersection of AI and Data Science
  • Focuses on AI for Science, integrating knowledge graphs with machine learning, and advancing explainable and trustworthy AI for life and health sciences
  • Research areas include Knowledge Graphs, Explainable AI, Neurosymbolic AI, and AI for Science
  • Former vice-president of Biodata.pt, promoting the valorization of Portuguese biological data
  • Actively promotes computer and data science careers for young women