Promoting neuroscience engagement in big-data, reproducible research.

We are developing an open, online platform to provide a seamless access to cloud computing infrastructure and brain data and data derivatives. This platform is meant to reach out beyond neuroscience, allowing also computer scientists, statisticians and engineers interested in brain data to use the data to develop and publish their methods.

Neuroscience is engaging at the forefront of science by dissolving disciplinary boundaries and promoting transdisciplinary research. This process can, in principle, facilitate discovery by convergent efforts from theoretical, experimental and cognitive neuroscience, as well as computer science and engineering. To assure the success of this process, the current lack of established mechanisms to promote open sharing data, software and scientific results must be overcome. Promoting open software and data sharing has become paramount to addressing the problem of scientific reproducibility. Brain Life addresses challenges to neuroscience open sharing and reproducibility by providing integrative mechanisms for publishing data, and algorithms while embedding them with computing resources to impact multiple scientific communities. Brain Life is a project under active development. We currently offer several cloud computing services – also called Brain Life Applications


Initialize diffusion-weighted data.


Tract brain connections using statistical ensemble methods.


Evaluation and statistical inference for brain connectomes.

Brain Network

Create brain connection matrices.

White Matter Tracts

Identify major human white matter tracts.

Connectome Evaluator

Provide quantitative estimates of connectome quality.

Brain Tissue Extraction

Subdivide the human brain into multiple regions and tissue types.


Open Diffusion Data and Derivatives.

Additional applications currently being developed. Your application can be submitted for publication on Brain Life by following the Brain Life Application Specification and emailing the team at

Who can use Brain Life?

Psychologists and neroscientists.

Use our cloud computing services to understand the brain and behavior.

Computer scientists and engineers.

Use published data and applications to further develop algorithms and computing methods.

Statisticians and data scientists.

Use the data and data derivatives to gather new insights into individuality and variability of the human brain in large populations.

An open, collaborative cloud computing platform.

Sixty-six collaborators from global scientific communities contribute to the project by providing data, applications, technology and products to advance understanding the human brain.

Partners and collaborators.

Research areas and applications.

The team.

Franco Pestilli
Project Director
Lindsey Kitchell
Graduate Student
Brent McPherson
Graduate Student
Bradley Caron
Graduate Student
Dan Bullock
Graduate Student
Soichi Hayashi
Software Engineer
Steven O'Riley
Software Engineer
Aman Arya
Software Engineer

The collaborators.

  • Robert Henschel

    Director of Science Community Tools at Research Technologies, Indiana University
  • Eleftherios Garyfallidis

    Assistant Professor of Intelligent Systems Engineering, Indiana University
  • Ivo Dinov

    Associate Director for Education and Training, Michigan Institute for Data Science, University of Michigan
  • Lei Wang

    Assistant Professor of Psychiatry and Behavioral Sciences and Radiology, Northwestern University