Sara Cammarota

PhD Student

sara.cammarota@hotmail.it

+39 06 72596008

Biography

Sara is a student in the National Ph.D. Program in Artificial Intelligence at the Tor Vergata Medical Physics Section.
 
She obtained a bachelor degree in Physics from La Sapienza University in Rome, where she developed a thesis on the use of Silicon Photomultipliers in Positron Emission Tomography. She later earned her master’s degree in Data Science, focusing on Topological Deep Learning and Semantic Communications.
 
Her research interests have a particular focus on graph neural networks, topological deep learning, especially on how topology-informed neural architectures can process complex, structured biological data and deliver actionable insights.

Profiles

Last 5 articles (Scopus)

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Towards neural foundation models for vision: Aligning EEG, MEG, and fMRI representations for decoding, encoding, and modality conversion; Information Fusion; February 2026; DOI: 10.1016/j.inffus.2025.103650
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Evidence for compositionality in fMRI visual representations via Brain Algebra; Communications Biology; December 2025; DOI: 10.1038/s42003-025-08706-4
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Activation of endogenous retroviruses characterizes the maternal-fetal interface in the BTBR mouse model of autism spectrum disorder; Scientific Reports; December 2025; DOI: 10.1038/s41598-025-91541-8
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Mindfulness-based stress reduction intervention during pregnancy changes maternal brain; Scientific Reports; December 2025; DOI: 10.1038/s41598-025-07787-9
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Glucose metabolism in hyper-connected regions predicts neurodegeneration and speed of conversion in Alzheimer’s disease; European Journal of Nuclear Medicine and Molecular Imaging; October 2025; DOI: 10.1007/s00259-025-07379-9
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Last 5 articles (PubMed)