Rita Torres de Sousa

Rita Torres de Sousa is a Researcher at the Data and Web Science Group, part of the School of Business Informatics and Mathematics at the University of Mannheim. Her research focuses on knowledge graphs, machine learning, and biomedical applications. She leads the KI-DiabetesDetektion project, which integrates multi-source data into knowledge graphs to enhance early diabetes detection through machine learning.

Her work bridges computational methods with biomedical challenges, emphasizing explainable AI and semantic similarity in biological contexts. Rita’s contributions include developing benchmark datasets and novel approaches for biomedical knowledge representation.

Publications highlight her interdisciplinary research, spanning protein interaction analysis, negative statement embeddings, and supervised learning in complex biomedical systems. She collaborates internationally, evidenced by co-authored papers at venues like the International Semantic Web Conference and Principles of Knowledge Representation and Reasoning (KR).