David Tena Cucala

David Tena Cucala is a Research Associate in the Department of Computer Science at the University of Oxford. His research focuses on Knowledge Representation and Reasoning within Artificial Intelligence (AI), particularly exploring how intelligent systems acquire and utilize knowledge. He investigates the operational principles of machine learning models like graph neural networks (GNNs) and transformers, aiming to understand their behavior through interpretable logical frameworks. His work bridges traditional logic-based AI approaches with modern machine learning techniques.

David’s research interests span foundational AI questions, including the nature of knowledge in systems and its practical realization. He seeks to uncover how models such as GNNs and transformers can be analyzed through human-understandable logical rules, advancing explainable AI. His contributions aim to reconcile the interpretability challenges of modern ML systems with longstanding AI principles.