Eleonora is a theoretical and computational biologist and a post-doc research fellow at the Nova School of Business and Economics.
She is broadly interested in complex systems and in emergent and collective behaviour. Her research aims to explore the potentiality of quantitative models in explaining and predicting phenomena, as well as the related epistemological foundations and limits.
In the past, she has investigated the adaptive immune system regulation, the neuronal network self-organization occurring during odor perception, and the pattern formation and transition to chaos in reaction-diffusion models with ecological applications.
More recently, she got interested in the implementation of quantitative models and machine learning for evidence-based strategies and policies of public interest, and moved into the field of the public health. She is now working on a project on identifying and predicting emergency admission, and on the dynamics of seasonal respiratory infectious diseases.
Eleonora studied pure and applied mathematics at the University of Palermo (Italy) and did her PhD in Integrative Biology and Biomedicine at the Gulbenkian Institute of Science in Oeiras (Portugal).