Cristina Scarpazza

Cristina Scarpazza is Associate Professor at the Department of General Psychology of the University of Padova.

She received from M.I.U.R (Italian Ministry of Education, University and Research) the National Scientific Habilitation as Associate Professor in ‘General Psychology, Psychobiology and Psychometrics’ (11/E1).

She published more than 70 papers in international journals on translational psychology and neuroscience, with particular emphasis of early diagnosis of psychiatric disorders, identification of neuroanatomical signature of psychiatric illness, group to individual inferences, forensic psychiatry (with particular focus on insanity evaluation). Cristina is particularly interested in cognitive biases and their impact in the interpretation of scientific findings. Through her long standing collaboration with the King’s College London, she was actively involved in a EU-founded multicentric study (PSYSCAN) aiming to improve the translational impact of neuroimaging findings from research to clinical practice. Furthermore, she is part of the Machine Learning in Mental Health Lab (https://mlmh-lab.github.io/members/) that is working to create a web based tool that, applying deep learning algorithms, automatically detects neuro-anatomical abnormalities in psychiatric populations and provides clinicians with an automated report of the results. As a clinician, Cristina was also involved in clinical and research activities on multiple sclerosis.

For her research, she received the “Italy Made Me” Award from the Italian Embassy in London in 2018 and a special mention for medicine from the Italian associations of innovators and inventors women.

In 2018, she won a grant from the University of Padua, the STARS Starting Grant, with a project titled: “EMOTIGEN: Are we really studying genuine emotions? The problem of genuineness of emotional expression”.

Research Gate: https://www.researchgate.net/profile/Cristina_Scarpazza

Google scholar: https://scholar.google.com/citations?user=ME6K90gAAAAJ&hl=en

, , , , , , , , , ,