Lecturer in Natural Language Processing, University of Edinburgh
Pasquale is a lecturer in Natural Language Processing at the School of Informatics, University of Edinburgh; co-founder and CTO of the generative AI start-up Miniml.AI; and ELLIS Scholar (Edinburgh Unit). His research interests include natural language processing and machine learning, focusing on relational learning and learning from graph-structured data, solving knowledge-intensive tasks, hybrid neuro-symbolic models, compositional generalisation, and designing data-efficient and robust deep learning models. Pasquale published over 100 peer-reviewed papers in top-tier AI conferences, receiving multiple awards (including one Outstanding Paper Award at ICLR 2021, one of the most influential conferences in AI), and delivered several tutorials on Explainable AI and relational learning in leading AI conferences. More information on his research is available on his website, www.neuralnoise.com.