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Hi there! 👋

I am currently a SED research engineer at the INRIA Paris center, in France 🇫🇷, working mostly in the ARAMIS team located at the Paris Brain Institute (ICM). Part of my work is dedicated to neuro-science tools like Clinica or Leaspy, developed by the ARAMIS team.

Before joining the Paris center, I was a research engineer in the PARIETAL team at Saclay center of INRIA. I was mainly working on developping and maintaining neuro-science 🧠 and machine learning softwares like Nilearn in which I am still involved as a core developer.

Before joining INRIA, I was a postdoctoral reasearcher in the Complex Networks team, at the computer science laboratory of Paris 6 (LIP6) from December 2018 to October 2020, and a postdoctoral researcher in the Power Systems Design and Studies group at the National Renewable Energy Laboratory (NREL) in Golden, Colorado, USA 🇺🇸 from March 2017 to November 2018. .

I obtained my PhD in October 2016, at Telecom SudParis, Saclay, France. My PhD work was focused on modeling and optimizing smart power grid systems. You can find more details in my CV.

NicolasGensollen's GitHub stats

GitHub Streak

Gensollen's Projects

admin icon admin

Admin discussion relative to Nilearn

brainstat icon brainstat

A statistics and context decoding toolbox for neuroimaging.

clinica icon clinica

Software platform for clinical neuroimaging studies

clinicadl icon clinicadl

Framework for the reproducible processing of neuroimaging data with deep learning methods

dirty_cat icon dirty_cat

Encoding methods for dirty categorical variables

genbip icon genbip

Python code for bipartite graph generation

joblib icon joblib

Computing with Python functions.

mne-python icon mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

modl icon modl

Randomized online matrix factorization

networkit icon networkit

NetworKit is a growing open-source toolkit for large-scale network analysis.

nilearn icon nilearn

Machine learning for NeuroImaging in Python

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