Benedetta Franceschiello - CIBM | Center for Biomedical Imaging Benedetta Franceschiello - CIBM | Center for Biomedical Imaging

Benedetta Franceschiello

Benedetta Franceschiello

Research Staff Scientist
EEG CHUV-UNIL Sensory, Perceptual, and Cognitive Neuroscience Section

Benedetta Franceschiello is a research staff scientist in the CIBM EEG CHUV-UNIL Section, led by Prof. Micah Murray. She is a trained mathematician who graduated from Alma Mater Studiorum, University of Bologna, Italy. After earning her Master’s summa cum laude in 2014, she enrolled into a joint PhD program between the Université Pierre et Marie Curie of Paris and the Department of Mathematics of the University of Bologna under an ITN Marie Curie European project, obtaining a double PhD in both Neuroscience and Mathematics, with distinction. During her PhD, she developed mathematical models for visual perception of optical illusions. Specifically, she introduced modelling approaches that could mime the perception of various types of perceptual phenomena and integrated these models within image processing algorithms. As an example, the visual perception-based model she developed solves computationally the problem of blind spots in images: such blind spots appear in the visual field of ophthalmic impaired populations. Benedetta is currently pursuing this line of research in the field of neuroimaging at CIBM, where she’s developing computational modelling for electroencephalography and vision-related neural activity. Benedetta’s move to Lausanne was to develop cutting-edge non-invasive neuroimaging techniques in Prof. Murray group, where she joined as a post-doc in 2017. During the past three years, she focused on developing a new magnetic resonance imaging technique which allows to image the eyes while they freely move (the technique is currently patented WO/2020/178397). The 3D MRI of the freely moving eye appears as a promising innovation, as it conceives non-invasive ophthalmic MRI and simultaneous eye-brain imaging, and it merges expertise of different CIBM sections. Benedetta’s current research also focuses on the development of clinical devices for visual rehabilitation, by applying artificial intelligence and machine learning techniques for vision.

Keywords: vision, computational modelling, neuroscience, applied mathematics, EEG, MRI, machine learning, ophthalmology, visual rehabilitation.