Giorgia Baron was born in Vicenza (Italy) in 1996.
She achieved her Bachelor Degree in Biomedical Engineering in September 2018 and her Master Degree in Bioengineering in September 2020, both from University of Padova, Italy.
Her Master thesis concerned the employment of a sparse DCM algorithm to infer alterations in whole-brain effective connectivity induced by stroke through resting state functional Magnetic Resonance Imaging (fMRI) data.
She is currently a PhD student in Information Engineering (Bioengineering curriculum, XXXVI cycle) under the supervision of Prof. Alessandra Bertoldo and co-supervision of Prof. Alessandro Chiuso (Department of Information Engineering, University of Padova).
Her main scientific interest regards the application and validation of novel methods to infer whole-brain effective connectivity by means of fMRI after stroke and other neuropathologies, with the final purpose of predicting cognitive and behavioural deficits originated by brain lesions and designing personalized neurorehabilitation strategies.