Maria Giulia Preti is a Senior Scientist and Lab Manager at the Medical Image Processing Lab (MIPLab), Neuro-X Institute, EPFL, and is affiliated with the Faculty of Medicine at the University of Geneva. She holds a Ph.D. in Bioengineering from Politecnico di Milano and has been working in brain imaging and neuroscience for over 15 years, including research experience at MIT and Harvard Medical School (Boston, USA).

Her research focuses on understanding the interplay between brain structure and function through advanced MRI, functional and structural connectivity, diffusion MRI and tractography, graph signal processing, and multimodal approaches combining MRI with EEG. Her work spans both methodological developments and clinical applications, including Alzheimer’s disease, epilepsy, multiple sclerosis, stroke, and neurodevelopmental disorders.

An active lecturer and mentor at EPFL and UNIGE, she regularly supervises student and Ph.D. projects and contributes to the international neuroimaging community through scientific committees and conferences. She is a Senior Member of the IEEE Signal Processing Society and a member of Organization of Human Brain Mapping (OHBM).

She has authored more than 60 peer-reviewed publications and is regularly invited to present her research at international conferences and scientific meetings.

The course, currently scheduled for the spring semester, covers a complete overview of modern Network Neuroscience, focusing on concepts of graph (spectral) theory applied to the brain. Based on data from noninvasive neuroimaging techniques of magnetic resonance imaging (such as fMRI, DTI), the course teaches how to extract meaningful brain networks and to analyze them, in the context of clinical and behavioral studies.
Keywords: brain structure, brain function, fMRI, DTI, connectivity, graph theory, graph spectral theory, graph signal processing, resting-state networks, multimodal, mutivariate analysis.