Under the direction of Josiane Zerubia, AYANA team, in partnership with Mahtias Ortner from Airbus Defense and Space: Learning Stochastic geometry models and convolutional neural networks. Application to multiple object detection in high resolution data sets.
Organizing member (2021-2022) and Secretary (2022-2023) of the ADSTIC (Association Doctorale du Campus STIC).
Final year intership in Virginie Uhlmann’s research group. Improving detection and tracking of individual Mycobacteria smegamtis in time lapse microscopy images of growing colonies, using graphical models and convolutional neural networks.
Multidisciplinary engineering school, France Common core : Aero/Hydrodynamics, Thermodynamics, Signal processing, Project management, Materials science etc…
Specialization : Option DAD (Decision & Data Analysis) : Probability and statistics, optimization, machine learning …
Courses on Functional analysis, Stochastic process, Itô integrals, Statistical physics
Research, development and documentation on a product recognition system for a “connected fridge” using image processing. Experimentation on several methods from simple image differences (OpenCV) to neural networks for object recognition (Tensorflow).
Initiation at research work on the subject of matrix factorization for recommendation systems. Study of research publications and implementation of machine learning and optimization algorithms to produce such recommendation systems such as used with Netflix or Spotify.
Use of multi-agent systems to simulate and observe sources of tension in the emergency services of the Hospital Center of Lille in partnership with computer science laboratory CRIsTAL.
Lycée Saint Louis,Paris