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Mnesys - Team - Doris Pischedda

 

Doris Pischedda

Doris Pischedda

https://sites.google.com/view/dorispischedda/home
doris.pischedda@unipv.it

0382 985211  
Milano (Lombardia) Italy
 

Ricercatrice a tempo determinato (tipo a)

Università degli Studi di Pavia

Doris Pischedda is an Assistant Professor at the University of Pavia at the Neuroimaging and brain modelling lab and a
member of the Milan Center for Neuroscience. She earned a bachelor’s degree in Applied Cognitive Psychology and a
master’s degree in Organizational Psychology and Psychology of Consumer Behavior from the University of Milano
Bicocca. In 2014, she got her PhD in Social, Cognitive, and Clinical Psychology from the same University after
spending a research period at the Bernstein Center for Computational Neuroscience in Berlin. Before her current
position, she was a Postdoctoral Research Fellow at the Charité - Univesitätsmedizin Berlin and Technische Universität
Berlin within the Excellence Cluster "Science of Intelligence". Her previous postdoc positions were funded by the
Center for Mind/Brain Sciences (CIMeC) at the University of Trento, the Department of Economics at the University of
Minnesota, and the Department of Psychology at the University of Milano-Bicocca.
The aim of her research has been to characterize the cognitive mechanisms underlying human behavior and the neural
representations of cognitive variables that may affect choice and guide action, especially during social interaction with
either humans or artificial agents. The goal or her MNESYS project is to simulate large-scale brain dynamics using
Magnetic Resonance Imaging data from individual subjects in order to build personalized brain digital twins of healthy
people and patients with neurodegenerative (Parkinson’s Disease) or psychiatric (schizophrenia) disorders. These could
help gain a more integrated view of the diseases and provide a platform for personalized medicine that improves
treatment selection and evaluation. To this purpose, she employs a combination of behavioral tasks, learning paradigms,
functional magnetic resonance imaging, standard analysis methods, advanced decoding techniques, and
simulations. She is also an advocate of diversity in neuroscience (winrepo.org).



Pubblications