I hold a Ph.D. in Computer Vision and have a solid foundation in Computer Science. I am an enthusiast in all things AI, metadata modeling, and linked data, with a strong academic background and a track record of practical experience in AI, and Machine Learning.
Dedicated to the advancement of semantic technologies, I have actively contributed as a member of the SEMIC community and team for several years. Currently, I am focusing on knowledge transfer and semantic transformation within public administrations and European organizations, playing a role in enhancing data interoperability and information exchange.
Beyond my current work, I have a keen interest in identifying ways to bring together symbolic and sub-symbolic AI through the use of ontologies and Large Language Models (LLMs).