Giulia Vadori

Giulia Vadori serves as a Visiting Fellow in Computer Science and Informatics, conducting cutting-edge research at the intersection of artificial intelligence and biomedical imaging. Her work focuses on neuroanatomical analysis through computational methods.

Her primary research interests include:

• Biomedical Imaging for neurological applications
• Computer vision techniques in histology
• Machine learning model development
• Neuroscience data interpretation
• Histological image processing
• Graph-based neural network architectures

Her 2024 publication demonstrates innovative application of self-supervised graph convolutional networks to cell-graph representations, advancing automated cortical layer analysis in brain histology. This work reflects growing trends in AI-driven neuroanatomical research with potential clinical translation.