neuroimaging posts

Our research in 2016: personal scientific highlights

Year 2016 has been productive for science in my team. Here are some personal highlights: bridging artificial intelligence tools to human cognition, markers of neuropsychiatric conditions from brain activity at rest, algorithmic speedups for matrix factorization on huge datasets…

Artificial-intelligence convolutional networks map well the human visual system

Eickenberg et ...

Nilearn 0.2: more powerful machine learning for neuroimaging

After 6 months of efforts, We just released version 0.2 of nilearn, dedicated to making machine learning in neuroimaging easier and more powerful.

This release integrates the features of the july sprint, and more.


Better documentation ...

Nilearn sprint: hacking neuroimaging machine learning

A couple of weeks ago, we had in Paris the second international nilearn sprint, dedicated to making machine learning in neuroimaging easier and more powerful.

It was such a fantastic experience, as nilearn is really shaping up as a simple yet powerful tool, and there is a lot of enthusiasm ...

Job offer: working on open source data processing in Python

We, Parietal team at INRIA, are recruiting software developers to work on open source machine learning and neuroimaging software in Python.

In general, we are looking for people who:

  • have a mathematical mindset,
  • are curious about data (ie like looking at data and understanding it)
  • have an affinity for problem-solving ...

PRNI 2016: call for organization

The steering committee of PRNI (Pattern Recognition for NeuroImaging) is opening a call for bid to organize the conference in June 2016, in Europe

Hiring an engineer to mine large functional-connectivity databases

Work with us to leverage leading-edge machine learning for neuroimaging

At Parietal, my research team, we work on improving the way brain images are analyzed, for medical diagnostic purposes, or to understand the brain better. We develop new machine-learning tools and investigate new methodologies for for quantifying brain function from ...

Hiring a programmer for a brain imaging machine-learning library

Work with us on putting machine learning in the hand of cognitive scientists

Parietal is a research team that creates advanced data analysis to mine functional brain images and solve medical and cognitive science problems. Our day to day work is to write machine-learning and statistics code to understand and ...

Conference posters

At the request of a friend, I am putting up some of the posters that I recently presented at conferences.

Large-scale functional-connectivity graphical models for individual subjects using population prior.

This is a poster for our NIPS work


Multi-subject dictionary learning to segment an atlas of brain spontaneous activity ...

Update on my life

I am currently changing jobs and changing countries. This is why I have been really bad at dealing with questions on the mailing-lists, bug-reports or feature requests.


So far I have been working as a physicist, doing atomic physics (Bose Einstein Condensation). I studied quantum physics, mostly theory, and ...