Paola Galdi is a data coordinator and neuroscientist with nine years’ experience applying machine learning, big data integration, and neuroimaging methods to cognitive neuroscience questions. She progressed from a PhD and visiting research at Caltech to postdoctoral roles at the MRC Centre for Reproductive Health and the University of Edinburgh, and now supports data-driven cancer research at Cancer Research UK Scotland Institute. Her work bridges rigorous computational pipelines and experimental neuroimaging, with a track record of predicting individual differences from resting-state fMRI. Comfortable with both research and operational data roles, she brings academic rigor, reproducible workflows, and a knack for turning complex multimodal datasets into actionable insights. Based in Edinburgh, she pairs top academic credentials with practical experience deploying ML-driven analyses in collaborative biomedical settings.
9 years of coding experience
3 years of employment as a software developer
Laurea Triennale, Informatica, 110/110 e lode, Laurea Triennale, Informatica, 110/110 e lode at Università degli Studi di Salerno
Diploma di liceo scientifico, 98/100, Diploma di liceo scientifico, 98/100 at Liceo Scientifico Francesco Severi
Laurea Magistrale, Informatica, 110/110 e lode, Laurea Magistrale, Informatica, 110/110 e lode at Università degli Studi di Salerno / University of Salerno
Code for predicting individual differences in behavioral variables (e.g., intelligence, personality) from resting-state fMRI functional connectivity, using data from the Young Adult Human Connectome Project
Contributions:177 commits, 167 pushes, 5 issues in 3 years 8 months
Contributions:1 release, 26 commits, 27 pushes in 3 years 6 months
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