Haykel Snoussi is a Research Fellow with the IMAGINE group at the Computational Radiology Laboratory, Harvard Medical School, and Boston Children's Hospital. He obtained a degree in Electrical Engineering (2014) from the University of Sfax and École Centrale de Nantes, an MSc in Image Processing (2015) from Pierre and Marie Curie University, and a PhD in Image, Signal, and Vision (2019) from the University of Rennes. Under Dr. Christian Barillot and Dr. Emmanuel Caruyer's supervision, his Ph.D. research at Inria Research Center focused on diffusion MRI for spinal cord data.

Later, Haykel contributed as a Data and Imaging Analyst at UT Health San Antonio, working on neuroimaging pipelines and machine learning techniques for several studies, including UKBB, ADNI, and MarkVCID. He then briefly served as a Research Associate at Baylor College of Medicine, investigating longitudinal iron evolution in adolescents.

Currently, at IMAGINE, Haykel develops computational methods for MRI processing and reconstruction, such as diffusion MRI, susceptibility-weighted imaging, and quantitative susceptibility mapping, to analyze early human brain development.