AGENCY FOR THE PROMOTION OF EUROPEAN RESEARCH IN ITALY - APRE
São Paulo, Brazil
Organisation from Academic Sector
PhD candidate at University of Campinas and visiting researcher in Italy. Works on customer segmentation, LLM agents, multi-agent systems, and conversational recommender systems for user decision support.
APRE, the Agency for the Promotion of European Research, is a non-profit research organization. For over twenty-five years, APRE, in close collaboration with the Ministry of Education, University and Research (MIUR), has provided its members as well as businesses, government agencies, and private individuals, information, support and assistance for participation in national and European programmes and collaborative initiatives (today, with particular reference to Horizon Europe) in the field of Research, Technological Development and Innovation (RTDI) and in the transfer of research results. APRE was created in 1989 as a joint initiative of the Italian Ministry of Education, University and Research (MIUR) and some public and private bodies in order to meet the growing demand for information on European research programmes. First reality of its kind, APRE has been supporting the scientific and the industrial community for over 20 years in the path to Europe, and today, to the World, through offering information, training and assistance activities on the participation rules of the Framework Programme of the European Commission.
PhD candidate in Computer Science at the University of Campinas (UNICAMP) and member of H.IAAC. Currently a visiting researcher in Bolzano, Italy, working with Prof. Markus Zanker and Prof. Francesco Ricci on conversational recommender systems and LLM-based agents.
My research focuses on designing multi-agent AI architectures for decision support, combining recommender systems, reinforcement learning, and large language models. I am particularly interested in how AI systems can assist users under information overload while preserving autonomy and rational decision-making.
I have experience in both academia and industry, including a research internship at Microsoft and current consulting work on AI-driven recommendation systems.
Research expertise in LLM-based agents, multi-agent systems, and conversational recommender systems. Focus on decision support, human-AI interaction, and scalable AI systems. Open to MSCA postdoctoral collaborations across domains.