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Research interests
- Studying the relationships between brain structure and function, and to leverage them for investigating brain neurological disorders, especially depression for the moment.
- Exploring graph signal processing and machine/deep learning to identify biomarkers of depression,
using diffusion and functional MRI.
Short resume
- Ph.D., “Graph signal processing for estimating biomarkers of brain connectivity”, Empenn team, INRIA, France (since Oct 2022)
- Supervisors: Pierre Maurel & Julie Coloigner
- Using advanced diffusion weighted imaging and functional imaging to study structural and functional connectivity in a cohort of depressive and anxious patients from the Human Connectome Project.
- Studying structure-function coupling with graph signal processing.
- Leveraging AI technologies applied to graphs to investigate depression.
- Master Degree in Computer Science, Université de Technologie de Compiègne, Compiègne, France (2021- 2022)
- Master’s in Computer Engineering, Université de Technologie de Compiègne, Compiègne, France (2017 – 2022)
Check my website -> soon ! 🙂