CV

Education

• Ph.D in Deep Learning, IMT Atlantique, 2021-2024
• M.S. in Computer Vision, Université de Caen, 2021
• B.S. in Computer Science & Applied Mathematics, FSSM, 2018

Work experience

• Apr 2024 - June 2024: Visiting Researcher
  • Queen Mary University of London, London
  • Duties includes: *Continuation of the work started during my internship at INRIA with Romain Serizel, focusing on the development of a new representation learning loss with application to bird sound species classification/detection.
  • Supervisor: Emmanouil Benetos
• Jan 2024 - Mar 2024: Visiting Researcher
  • INRIA, Nancy
  • Duties includes: *Collaboration with Vincent Lostanlen (CNRS Nantes) and Jeremy Froidevaux (CREA Mont-Blanc) to address the problem of imbalanced multi-label classification with application to anuran sound species classification. *Priliminary work on the development of a new representation learning loss with application to bird sound species classification.
  • Supervisor: Romain Serizel
• Mar 2021 - Aug 2021: Machine Learning Intern
  • Centre François Baclesse, Caen
  • Duties includes: *Development of a Deep Learning model for the super-resolution and the denoising of MRI scans. *Study of the impact of a Deep learning model on radiomics.
  • Supervisors: Aurélien Corroyer-Dulmont, Cyril Jaudet, Alexis Lechervy

Skills

• Machine Learning / Deep Learning
  • Pytorch, Keras, Numpy
• Data Science
  • Pandas, Sklearn
• Image Processing
  • OpenCV, Pillow
• Signal Processing
  • Scipy, Librosa (audio) <!– * Languages
  • English (CLES B2)
  • French (TCF B2)
  • Arabic (Native) –>