I am a PhD student in the MIND Team at CEA / Inria, focusing on advanced methods for brain functional MRI.
My research centers on deep learning for ultra high field whole-brain, high-resolution functional MRI reconstruction, with a particular emphasis on combining self-supervised learning and transfer learning with physical modeling of fMRI reconstruction.
- Deep learning–based reconstruction from undersampled medical imaging data
- Joint optimization of non-Cartesian trajectories and physics-driven reconstruction
- Foundation models for brain imaging
- fMRI-based brain decoding
- Future extensions toward non-invasive brain–computer interfaces
I am also passionate about open-source scientific software and actively contribute to projects such as MRI-NUFFT and SNAKE.
You can find my CV, my LinkedIn, and Personal Website here.