André Freitas

Researcher

Group Leader, Reasoning & Explainable AI Lab

Short Bio: André Freitas leads the Reasoning & Explainable AI Lab (ExplAIn Lab) at Idiap and at the Department of Computer Science at the University of Manchester. He is also the AI group leader at the digital Experimental Cancer Medicine Team (CancerResearchUK). His main research interests are on enabling the development of AI methods to support abstract, explainable and flexible inference. In particular, he investigates how the combination of neural and symbolic data representation paradigms can deliver better inference. Some of his research topics include: explanation generation, natural language inference, explainable question answering, knowledge graphs and open information extraction. He is actively engaged in collaboration projects with industrial and clinical partners.

CV | LinkedIn | Google Scholar | DBLP

Vision & Research Focus: The Reasoning & Explainable AI Lab aims at developing systems which capable of complex, abstract and flexible inference. We operate at the interface between neural and symbolic AI methods aiming to enable the next generation of explainable, data-efficient and safe AI systems. Our research investigates how the combination of latent and explicit data representation paradigms can deliver better inference over data. Our current research areas include:

Interest/Research Areas:

Inference & Explanations

• Natural language inference
• Abstractive inference
• Explanation generation
• Explainable question answering
• Scientific inference & explanations

Neuro-symbolic Models

• Multi-hop reasoning
• Semantic control
• Semantic probing

Extraction & Representation

• Sentence & discourse representation
• Open information extraction
• Knowledge Graphs
• Scalable Knowledge-based inference

AI applications in cancer research

Publications & Projects here