About Me#

I am a French engineer who started a PhD in neuroscience. I work at the Functional Brain Mapping Lab where I study brain wave (EEG). As a researcher, I am particularly interested in EEG microstates for both their theoretical approach and their clinical application and currently develop a framework for using these biomarkers as targets for neurofeedback therapies, with a special focus on attention deficit and hyperactivity disorder.

As a researcher engineer, I try to play my part by making analysis tools and techniques accessible to the largest number of people. I have the deep conviction that this is the key element that will advance our knowledge about the brain. That is why I actively participate in the development of the open source python ecosystem: I contribute to libraries such as nipype and MNE, and complement them with libraries I wrote such as Pycartool and Pycrostates.

Work Experiences#

2023 - today

@Fondation campus biotech - HNP

Geneva

Software Engineer (30%)
  • Provide automated workflows for analyzing neurofimaging data.

  • Provide services for curation, preprocessing and analysis of fMRI, EEG and iEEG recordings.

2020 - today

@UNIGE

Geneva

PhD researcher Assistant (70%)

Ongoing PhD research on Training spatio-temporally defined brain activity patterns with EEG neurofeedback.

2020 - 2022

@UNIGE

Geneva

Software Development Engineer (30%)

Development of open-source python libraries for EEG microstates analysis.

2019 - 2020

@Fondation campus biotech - HNP

Geneva

Software Development Engineer – EEG/FMRI

Support neuroscience researchers of the Functional Brain Mapping Lab at Campus Biotech

Software Development & Data analysis Intern – EEG
  • Develop user-friendly Graphical user interfaces for EEG data preprocessing including filters, resampling, ICA processing, interpolation, referencing…

  • In depth study of artefact cleaning algorithm by mean of large-scale EEG simulation.

2018

@zeta

Paris (FR)

Software Development & Data analysis Intern – EEG
  • Setting up a neurofeedback paradigm for tinnitus treatment (real time):

  • Creation and optimization of bad channel interpolation and artefact rejection algorithms (ICA)

  • Scientific data analysis of tinnitus related EEG (offline):

    • Source estimation

    • Statistical Data analysis

2018

@bioserenity

Troyes (FR)

Lean Management and Development & Data analysis Intern – EE

Design a test bench for EEG connected devices

  • Improve ERP integration and stock prediction

  • Developed software for label printing

2017

@MEFRO WHEELS

Troyes (FR)

Production Operator

Regulated the production flow in a wheel manufacturing company.

Education#

2020 - today
PhD in Neuroscience

Lemanic Neurosicences Doctoral School

2018 - 2019
Master in Neurosciences and engineering

Bioengineering and Innovation in Neurosciences (Paristech)

2015 - 2018
Master’s in industrial and mechanical engineering

Arts et Métiers