I completed a BSc in Psychological Sciences and Techniques and a MSc in Cognitive
Neuroscience and Psychological Rehabilitation at the Sapienza University of Rome.
Throughout these academic programs, I completed courses and research in the fields of
psychopathology and biopsychological research. For my master’s thesis, I conducted
preclinical research using a murine model of depression, induced through early
environmental manipulation. My work focused on investigating the neurobiological
mechanisms underlying this condition and explored a potential pharmacological treatment
aimed at rescuing the depression-like phenotype observed in adult animals.
Currently, I am a Research Fellow at the Institute of Cognitive Sciences and Technologies
of the National Research Council, working in the Computational and Translational
Neuroscience Laboratory. My ongoing project aims to investigate the neural and cognitive
dynamics of meta-learning based decision-making in healthy subjects and patients with
major depressive disorder (MDD) combining behavioral data, neuroimaging data using
fMRI and computational modelling. We aim to use computational phenotyping to identify
individual differences among patients and to refine a machine learning model that can
distinguish healthy participants from those with depression. This will contribute to the
advancement of precision medicine, enabling personalized approaches to diagnosis and
treatment.
