I am currently a postdoctoral fellow in Deep Learning (Medical Imaging) at Inserm, affiliated with the Institut du Thorax (ITX) in the Human Genetics team, under the supervision of Dr. Florent Autrusseau. My postdoctoral research focuses on the automatic detection of intracranial aneurysms and the characterization of the cerebrovascular tree from 3D medical imaging data (3DRA), aiming to support clinical decision‑making and improve stroke prevention (RHU – eCAN project, 2024–2029).
Download my curriculum vitae .
Post-Doc in Deep Learning (Medical Imaging), 2026 - Present
ITX-INSERM (Nantes)
Machine Learning Engineer, 2026 - Present
Liora (ex-Datascientest)
Data scientist & MLops, 2025 - Present
Machine Learnia
Post-Doc in Applied Mathematics, 2024 - 2025
University of Bordeaux
PhD in Applied Mathematics, 2018 - 2021
École Centrale de Nantes & Lebanese University
Master 2 in Fundamental and Applied Mathematics, 2017 - 2018
Nantes University
Master 1 in Pure Mathematics, 2016 - 2017
Lebanese University
Bachelor Degree in Mathematics, 2013 - 2016
Lebanese University

Machine Learning–based real estate price estimation for data-driven property valuation

Transforming intracranial aneurysm care using digital, multimodal and AI-driven tools
My research focuses on:
My research focused on:
Responsibilities (270h) include:
Responsibilities (182h) include:
Responsibilities (192h) include:
Responsibilities (192h) include:
and preprints