About

I am a PhD candidate at Inria and Université Grenoble Alpes, where I am a member of the STATIFY team, the Laboratoire Jean Kuntzmann (LJK), and Team 5, Functional Neuroimaging and Cerebral Perfusion, of the Grenoble Institute of Neuroscience (GIN). I am supervised by Sophie Achard (UGA, CNRS, Inria), with scientific collaborations involving Jonas Richiardi (Lausanne University Hospital and University of Lausanne, Switzerland) and Alexander Petersen (Brigham Young University, USA).

During my PhD, I was a Visiting PhD Scholar at Brigham Young University (Utah, USA), supported by the IDEX Doctoral Mobility Scholarship. Before my PhD, I completed the MICAS Master 2 program in Machine Learning, Communications, and Security at Télécom Paris, Institut Polytechnique de Paris, supported by the LabEx DigiCosme Excellence Scholarship. I also earned an Engineering degree in Electrical and Electronic Engineering, with a specialization in Computer Science and Telecommunications, from the Lebanese University.

My research focuses on developing graph-based machine learning methods for the analysis of resting-state functional brain connectivity. I investigate novel brain graph representations that account for uncertainty through distribution-valued edges, develop methods for comparing graphs using optimal transport, and study the performance and interpretability of graph neural networks, graph kernels, and classical machine learning models on both simulated and real neuroimaging datasets, including HCP, PIOP2, ABIDE, ADHD, and COMA.