I joined the CIBM SP EPFL-UNIGE Connectomic Imaging Section in March 2025.

I have received a bachelor’s and master’s degree in Communication Systems from EPFL, and a master’s degree in Cognitive Science from Osnabrück University. In 2017, I joined the Connectomics department of the Max Planck Institute for Brain Research in Frankfurt. Under the direction of Prof. Moritz Helmstaedter, I focused on the segmentation and reconstruction of multibeam scanning electron microscopy (mSEM) data using deep neural networks.

Between 2019 and 2023, I performed a PhD thesis (Prix de Faculté) in the Life Science program of Lausanne University under the direction of Dr. Meritxell Bach Cuadra, supported by the SNSF. In my PhD, I worked on super-resolution reconstruction of fetal and newborn brains from diffusion magnetic resonance imaging (dMRI) data. In 2022, I was awarded an SNSF Mobility Grant to work as a visiting scholar on fetal and newborn projects at Boston Children’s Hospital & Harvard Medical School with Prof. Ali Gholipour and Prof. Davood Karimi.

I have worked as a senior SNSF researcher within the CIBM SP CHUV-UNIL Trustworthy Medical Image Analysis in the project aiming to tackle domain shifts in early developing brains and between high (1.5T & 3T) and low (0.55T) field strengths. My current work with MIP:Lab lies at intersections of functional MRI analysis methods, neuroscience, deep learning and developing brains. My broad research interest encompasses consciousness, neuroscience, brain reconstruction, machine learning, and its applications to medical neuroimaging.

KEYWORDS: machine learning, MRI, image processing, fetal and neonatal populations 

Publications: Google Scholar
Email: hamza (dot) kebiri (at) unige (dot) ch & hamza (dot) kebiri (at) epfl (dot) ch
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