CV

General information

Full Name Arnaud Quillent
Languages French, English, Spanish

Education

  • 2022-2025
    PhD
    Télécom Paris, France
    • Title: Role of deep learning into three-dimensional reconstruction for breast tomosynthesis
  • 2019-2020
    Master's degree
    Université de Rouen Normandie, France
    • Data science and engineering
  • 2015-2020
    Master's degree in Engineering
    INSA Rouen Normandie, France
    • Computer science
    • Image processing
    • Machine learning
    • Deep learning

Experience

  • Since 2025
    Data scientist
    GE HealthCare, France
    • Image processing for mammography
    • Development of deep learning algorithms
  • 2022-2025
    PhD student — Engineer
    GE HealthCare, France
    • Deep learning for breast tomosynthesis reconstruction
  • 2021-2022
    Research engineer
    Inria (French National Institute for Research in Digital Science and Technology)
    • Various machine learning algorithms on MR images
    • Work with Gustave Roussy Cancer Campus
  • 2020
    Research intern
    GE HealthCare, France
    • Deep learning algorithms to detect region of interest in mammogram images
  • 2019
    Research intern
    Universitat Pompeu Fabra, Spain
    • Natural language processing (NLP)
    • Social media analysis

Research interests

  • Mathematics
    • Inverse problems
    • Optimisation
  • Deep learning
    • CNNs
    • Bayesian networks
  • Medical imaging
    • Tomography
    • Image reconstruction