CV

Junior scientist (contractor)

Roche pRED

Work on the deep learning pipeline for the EEG team in the neuroscience department.

Research internship

Roche pRED

Geometric deep learning and interpretable methods for EEG data.

Research internship

Siemens Healthineers

Optimization of radio-frequency ablation (RFA) treatments for liver tumors. Implementation of multi-agent reinforcement learning (MARL) methods.

Research internship

Inria Parietal group

Development of data augmentation methods for the analysis of electroencephalographic (EEG) signals with deep learning algorithms.

Research internship

Centre for Computational Biology (CBIO) at Mines Paris

Enhancement of self-supervised representation learning algorithms for histopathology.

Facilitator

The Climate Collage

Workshop based on the IPCC report designed to raise awareness about climate change.

PhD

Inria MIND and Roche

Computer Science and Neuroscience

M.S. MVA (mathematics, vision and machine learning)

ENS Paris-Saclay

Applied Mathematics

• Convex optimization
• medical image analysis
• kernel methods
• modelling in neuroscience
• Computational statistics

B.S. and M.S. engineering degree

Mines Paris

Applied Mathematics

• biotechnology
• statistics
• micro economy
• data science