Prof. Francesca Toni
Principal Investigator and strategic lead
Argumentation, interactive explainability, contestability and project leadership.
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Come argue with us.
Complementary expertise in causal discovery, computational argumentation, explainable AI and high-stakes modelling—strengthened by supervised student research.
Core CArLA team
Project leadership and research
Dr. Fabrizio Russo
Technical lead
Causal discovery, statistical learning, explainable AI, contestability and software engineering.
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Dr. Anna Rapberger
Argumentation and explainability
Computational argumentation theory, scalability and explainable AI.
Acknowledgements
Student contributors and supervised research
These projects contributed ideas, experiments and implementations related to the wider CArLA research programme. Acknowledgement here does not imply that every student was formally funded by the grant.
Dhruv Himatsingka
MEng 2026
Bridging Gradual Semantics and Graph Neural Networks for Argumentative Causal Discovery.
Zihao Li
MSc 2025
Leveraging Large Language Models for Causal Discovery.
Yeva Hunanyan
MSc 2025
Exploring Semantics for Argumentative Causal Discovery.
Preesha Gehlot
MEng 2025
Graph Neural Networks for Approximate Argumentative Reasoning.
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