☕️About Me
Ph.D. candidate at Inria, the French national research institute for digital science and technology. My research focuses on machine learning methods for tabular data and medical imaging. I work on developing interpretable and efficient models to extract meaningful representations from high-dimensional data. My interests include temporal modeling and tensor factorization for structured data, as well as deep learning approaches for image segmentation, generation, and modality transfer.
- Deep Learning
- Image Segmentation
- Tensor Decomposition
- Image Quality Transfer
- Healthcare Data Analytics
- Computational Phenotyping
Ph.D. in Machine Learning
Inria, France
Master's degree in Computer Science, Data Science option
Claude Bernard Lyon 1 University
Bachelor's degree in Computer Science, Math option
Claude Bernard Lyon 1 University
Experience
Visiting Researcher
Centre of Medical Image Computing, University College LondonLondon, UK
Collaborators : Daniel Alexander, Joseph Jacob
- Vascular segmentation of HiP-CT brain images
- Synthesize Utrasound Localisation Microscopy (ULM) images from Functional Ultrasound (fUS) using deep generative models
PhD Candidate
AIstroSight, InriaLyon, France
Supervisors : Thomas Guyet, Hugues Berry
Collaborators : Benjamin Vidal, Etienne Audureau
[fUS-ULM] : Functional Ultrasound Imaging captures rapid hemodynamic changes but offers limited spatial resolution. Ultra Localized Microscopy provides high-resolution images but suffers from long acquisition times. Combining fUS and ULM could produce detailed images with both high resolution and fast frame rates.
[AI-RACLES] : A chair funded by Inria-APHP-CS aiming to develop new artificial intelligence techniques to better exploit the greater Paris university Hospital (APHP) data lake. The context of this internship is to investigate how to support the evaluation of health care pathways.
Healthcare Data Analyst
LIRISLyon, France
Supervisor : Hacid Mohand Saïd
Collaborators : Delphine Maucort-Boulch, François Talbot
[KANOPEE]: An application offering clinical identification and advice by a virtual companion to limit sleep problems and addictive behaviors, early markers of anxiety, stress and depression linked to the COVID-19 crisis.
[QUALITOP]: European project aiming to develop a smart digital platform using big data analysis to monitor health status and quality of life of cancer patients given immunotherapy.
Education
Ph.D. in Machine Learning
Inria, FranceMaster's degree in Computer Science, Data Science option
Claude Bernard Lyon 1 UniversityBachelor's degree in Computer Science, Math option
Claude Bernard Lyon 1 University
