Angelo Cafaro is a data scientist at EFSA’s MESE Unit where is involved in developing innovative methodologies for risk assessment based on AI and Big Data and providing supporting in the adoption of AI technologies. Prior to joining EFSA in 2020, he worked in the IT industry as project manager on complex multi-million, multi-partner, projects about AI and Big Data in the travel and banking domains. Previously, he worked as post-doctoral researcher at CNRS, in France, collaborating with research laboratories and institutions based in EU and US. He co-authored peer reviewed manuscripts published in international venues and worldwide recognized journals in the fields of AI and Human-Computer Interaction. He has been involved in the organization of international conferences and special tracks about AI, such as the socially interactive agents track at the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018 in Stockholm) and the Intelligent Virtual Agents series (from 2011 to 2017). He holds a PhD in computer science, from Reykjavik University in Iceland, focusing on AI, Natural Language Processing and Human-Computer interaction.