Simona Campisi is a Biomedical Engineer, Level III Technician at the Institute for Biomedical Research and Innovation (IRIB) of the National Research Council (CNR). She is currently completing a PhD in Artificial Intelligence (Health and Life Sciences Area) as part of the National PhD program in AI. Her background combines biomedical engineering, physiological signal analysis, and artificial intelligence algorithms applied to the study of human behaviour and neurophysiological processes.
She conducts her research within the sAInce Lab (Sensors & Artificial Intelligence for Neurodevelopmental Care Engineering), contributing to the development of AI-based methodologies for multimodal analysis of social interactions and the characterisation of neurodevelopmental conditions.

Her scientific activity focuses on the exploration of dyadic interactions during social and play contexts, with a particular emphasis on autism. Through a multimodal approach, she integrates heterogeneous data sources, including physiological signals, kinematic data, and gaze patterns extracted using AI-based video analysis, to investigate behavioural dynamics and individual differences between autistic and neurotypical individuals.

Her research aims to identify quantitative markers and synchrony patterns that may contribute to understanding social interaction processes and to developing personalised assessment and intervention tools.
In parallel, she collaborates on IRIB-CNR projects that apply machine learning and AI to complex clinical data, with the goal of identifying digital biomarkers and predictive models supporting precision medicine.

• DELPHI
• RESILIENT
• EARLY COGN 3

• Seminario: Quando la medicina incontra l’intelligenza artificiale