Research: Brain imaging and modeling

I work computational analysis of functional brain imaging to build quantitative probabilistic and descriptive models of brain function.

I develop algorithms and models to segment salient and reproducible features of on-going brain activity from functional MRI. I focus on group models for inference on multi-subject data. In addition, I use graphical models to do inter-subject or inter-group modeling of connectivity structures. More on the neuroscience page...

Previous research: Physics

I hold a Ph.D. in Physics. Until 2008, I was doing research on developing quantum-based atom-optic metrology, in particular, using quantum gases for atom-interferometric inertial sensing. More on the physics page...

Scientific computing activities

I am a core contributor in a number of scientific computing libraries in Python:

• Mayavi: 3D plotting and scientific visualization in Python.
• joblib: meta-programming for lightweight pipelining of scientific jobs in Python.
• scikit-learn: Machine learning in Python.
• nipy: NeuroImaging data analysis tools in Python.
• pyreport: literate programming for scientific code in Python.

Personal views on scientific computing...

Publications

Latest publications: ( Link to complete publication list )