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André Freitas leads the Reasoning & Explainable AI Lab at the Department of Computer Science at the University of Manchester. He is also a research group leader at the Idiap Research Institute, focusing on various aspects of artificial intelligence and explainable AI. His research interests include the development of AI methods that support abstract, explainable, and flexible inference, particularly the combination of neural and symbolic data representation paradigms to enhance inference capabilities. Freitas's work encompasses a range of topics including explanation generation, natural language inference, explainable question answering, knowledge graphs, and open information extraction. He actively collaborates with both industrial and clinical partners on projects aimed at addressing important global challenges, particularly those related to the United Nations Sustainable Development Goals. His contributions to AI research are well-regarded, and he has been involved in several significant collaborative projects.
Idiap Research Institute • Switzerland
Leading research in AI and explainable systems.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.