Gael Varoquaux PhD Physics

Course and current status

2005–2007 Université Paris Sud (Orsay, France): PhD in quantum physics. Direction: prof. Alain Aspect, defense January 18, 2008. Thesis: Atomic sources for long-time-of-flight interferometric inertial sensors.

Nov. 2007–March 2008 LENS (European laboratory for non-linear spectroscopy, Florence, Italy): EST Marie Curie European Fellow, quantum degenerate gases group.

2008 Enthought Inc (Austin, Texas): Consultant on scientific computing solutions in Python.

June–Sept. 2008 UC Berkeley (California): junior specialist, scientific computing. Development of NeuroImaging computing in Python – Nipy project.

Oct. 2008–Oct. 2010 INRIA, Parietal team (NeuroSpin, Saclay France): Post-doctoral fellow. Development of statistical methods to study brain resting-state activity.

Oct. 2010–Sept 3011 INSERM, Unicog team (NeuroSpin, Saclay, France): Post-doctoral fellow. Computational modeling of on-going brain activity.

Oct. 2011–Present INRIA, Parietal team (NeuroSpin, Saclay, France): Permanent researcher (CR1). Machine learning and statistical modeling for functional brain imaging.

Scientific summary

My main research focus is on multivariate data analysis and statistical inference of brain function from functional MRI. I develop algorithms and models to study the correlations in the fluctuations of neural activity observed across the brain, i.e. functional connectivity. For inference on group data, I introduce explicit models of spatial and functional variability.

I work on group-level multivariate spatial analysis of resting-state data (Spatial ICA and spatial structured decompositions). I also use Gaussian graphical models to study the covariance structure of brain activity. Finally, I work on multivariate analysis to map the neuronal coding of cognitive processes across subjects in machine-learning settings.

In addition, to bridge the gap between algorithm research and applications, I have been contributing to building a general-purpose tool stack for computational science using the Python language. My effort is shared between software development and improving communication and cooperation between scientific software projects and users.

More information on

Image d’exemple