Resume¶

I’m currently a research fellow at the Martinos Center for Biomedical Imaging in Boston working with Matti Hamalainen. I was previously postdoctoral fellow in the INRIA Parietal team. I obtained my PhD in 2009 from Telecom ParisTech under the supervision of Maureen Clerc and Olivier Faugeras. I did my PhD jointly at INRIA in Sophia Antipolis and the Computer Science Department at the Ecole normale supérieure in Paris. I graduated from the Ecole Polytechnique in 2006 after a double masters degree at Telecom ParisTech and Ecole normale supérieure in Cachan (DEA MVA). My research interests are on brain functional imaging (MEG, EEG, fMRI) where I apply my background in signal and image processing, scientific computing, numerical methods, data mining and machine learning.

Publications¶

OpenMEEG - C++ package for low-frequency bio-electromagnetism including the EEG/MEG forward problem. OpenMEEG implements the Symmetric BEM which has shown to provide very accurate solutions. Some features: parallel processing, Python Bindings, Matlab integration with Fieldtrip and Brainstorm
Scikit Learn - A great Python project for machine learning.
MNE - A complete package to process EEG and MEG data: forward and inverse problems, stats, time-frequency analysis.
EMBAL (Soon available) - Matlab toolbox that implements many solvers for M/EEG inverse modeling (L2 a.k.a MN or WMN, L1, L21, L212, Total-Variation, LORETA, HEAT, sLORETA, dSPM, Gamma-MAP, Bayesian approach with Restricted Maximum Likelihood etc.).
EEGLAB Plugins - An EEGLAB plugin for single trial analysis.