Eric Earl is a neuroinformaticist acting as a data scientist in the NIMH Data Science & Sharing Team. He has been computer programming and leading projects for academic research since 2005 having worked in neuroimaging and biomedical research with Damien Fair at Oregon Health & Science University (OHSU) and University of Minnesota (UMN), Nico Dosenbach at Washington University in St. Louis, and many others at OHSU like Bonnie Nagel, Joel Nigg, Alice Graham, Bill Rooney, Charles Springer, Wei Huang, Xin Li, Christopher Kroenke, Tamara Hayes, and Misha Pavel. Check Eric’s Google Scholar page to see his cross-collaborative works. Eric has applied his engineering background across research fields such as auditory, aging, non-human primates, MRI, fMRI, and brain development. He also co-invented the Nous Imaging (now known as Turing Medical) MRI motion monitoring software, FIRMM.

Eric’s professional interests are in improving data workflows for accessibility, managing data-heavy projects with an eye for efficient solutions, and generalizing software solutions by leveraging existent tools. In his past role as Research Associate and Computing Team Lead in the DCAN Labs he led the team to create a set of complete image processing pipelines to process fMRI sessions using the BIDS standard and BIDS App formats. This proud work was also open-sourced on GitHub and released on Docker Hub for each pipeline. The abcd-hcp-pipeline was also used to process 10,000+ MRI sessions from the ABCD Study and 150+ Terabytes of derivative data from this work are shared on the NIMH Data Archive Collection 3165 also known as the ABCD BIDS Community Collection, or ABCC, and fully documented on ReadTheDocs.

You can find publications to which he has contributed in the Google Scholar link to the left. Please feel welcome to say hello over email anytime.

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