
Valentina Bordin, a postdoctoral researcher at the Department of Electronics, Information and Bioengineering – Politecnico di Milano, has been awarded the QuanTIM PhD Student Award in recognition of her outstanding contributions to quantitative and qualitative methodological research in public health.
The award, established to support and encourage promising early-career scientists, includes a grant of €1,500 to support conference attendance or a research stay abroad. As part of the honour, Dr. Bordin has also been invited to present her work as the final panellist of the current QuanTIM Webinar series.
This recognition highlights Dr. Bordin’s impactful research and reinforces the importance of fostering innovation at the intersection of health and methodology.
Valentina Bordin graduated in Biomedical Engineering from Politecnico di Milano, Italy, in 2019. In 2024, she completed her Ph.D. with honours in Bioengineering at Politecnico di Milano, presenting a thesis titled “Methodologies to enhance the role of White Matter Hyperintensities as imaging biomarkers of neurodegeneration.”
She currently serves as a postdoctoral researcher and academic teaching assistant at Politecnico di Milano. Her research interests encompass neuroimaging analysis and computational methods for neurodegenerative disease research, focusing on automated segmentation of white matter lesions, harmonization of imaging-derived measures, and application of explainable artificial intelligence techniques to neuroimaging data.
Dr. Bordin has established significant international collaborations, beginning with her research experience at the Oxford Centre for Functional MRI of the Brain, where she developed expertise in harmonizing large-scale neuroimaging databases. She currently contributes to a European working group focused on harmonizing neuroimaging methodologies for neurodegenerative diseases across six countries. Alongside this, she also maintains an active clinical research collaboration with Children's Hospital Buzzi, where she works on characterizing patterns of white matter damage specific to childhood leukodystrophies.