BWH-CCDS Data Science Pathway Resource Website

An entry-level resource for Data Science in Radiology

Project maintained by wfwiggins Hosted on GitHub Pages — Theme by mattgraham

Contributors

If you would like to become a Contributor, please fork the project on GitHub, then write a post according to the Contributor Guidelines (work in progress...), and submit a pull request (PR) for your post to be considered.

  • Kirti Magudia

    Co-Editor

  • M. Travis Caton, Jr.

    Co-Editor

  • Walter Wiggins

    Maintainer/Editor

    Walter is a Neuroradiology Fellow at Duke University Hospital in Durham, NC. With mentorship from Dr. Kathy Andriole and the support of the BWH Radiology Residency Leadership, Travis Caton and he started the BWH-CCDS Data Science Pathway, which allows radiology residents in their final year of residency to embed themselves in the MGH-BWH Center for Clinical Data Science, to develop, test, and deploy machine learning applications for Radiology.

    Walter received his MD and PhD in Neuroscience from Wake Forest University. He completed his residency training in Radiology at Brigham & Women’s Hospital/Harvard Medical School in Boston, MA. He was a co-founder and inaugural participant in the BWH-CCDS Data Science Pathway. He completed the National Imaging Informatics Course in Fall 2018.

    GitHub: @wfwiggins
    Twitter: @walterfwiggins
    LinkedIn: linkedin.com/wwiggins-md-phd

    • Acknowledgements

    None of this would be possible without the inspiration, comments and support of the following people (trying not to leave anyone out, but inevitably will):