Experience

Institut Polytechnique de Paris & Keyrus

Computer Vision & Deep Learning for Medical Imaging — Predictive Analysis and Follow-Up of Interstitial Lung Diseases

Université Paris Cité (Paris Descartes)

Computer Vision, Machine Learning, Deep Learning

Sorbonne Université (ex. UPMC)

Computer Science fundamentals

Université IBN KHALDOUN

Computer Science

Institut Polytechnique de Paris × Keyrus

Designed segmentation models for interstitial lung diseases on large-scale CT datasets. Built generative models (Diffusion, Cycle-GAN) for synthetic pathology generation. Developed multiscale graph attention architecture for airway segmentation. Published 5 peer-reviewed papers.

Institut Polytechnique de Paris

Medical image segmentation research using deep learning architectures (U-Net, TransUNet). Worked within multidisciplinary teams collaborating with academic and clinical partners.