Blake Dewey
Assistant Professor at The Johns Hopkins University
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolBlake Dewey is an Assistant Professor of Neurology at Johns Hopkins with 11 years of experience melding electrical engineering and neuroimaging to advance MRI-based biomarkers for multiple sclerosis. He develops and implements robust multi-contrast harmonization and automated pipelines for longitudinal and multi-site MRI, translating advanced computational methods into clinical trial standards and precision medicine workflows. His work spans spinal cord and brain imaging, where novel bias correction and segmentation approaches have improved sensitivity to disease progression. An active contributor to the nipype community, he strengthens neuroimaging tools by improving ANTs interfaces and ensuring reproducible, PEP8-compliant code. Based in the DC–Baltimore area, he brings a rare combination of hands-on software development, machine learning expertise, and clinician-facing collaboration that accelerates translational imaging research.
11 years of coding experience
3 years of employment as a software developer
Johns Hopkins UniversityBachelor's Degree Physics Mathematics, Bachelor's Degree Physics Mathematics at Vanderbilt UniversityHigh School, High School at Sycamore High School
Github Skills (7)
workflow-engine10
python10
neuroimaging10
brain-imaging10
dataflow9
dataflow-programming9
data-science8
Programming languages (10)
Github contributions (5)
nipy/nipype
Oct 2014 - Oct 2016
Workflows and interfaces for neuroimaging packages
Role in this project:
Back-end Developer
Back-end DeveloperContributions:68 commits, 23 PRs, 20 pushes in 2 years
Contributions summary:Blake primarily focused on modifying and improving the `nipype` library, specifically within the `ants` interfaces. Their contributions involved updating input specifications, refining argument formatting, and fixing bugs related to data transformations, bias field correction, and segmentation. The user's work is centered on enhancing the usability and functionality of neuroimaging tools within the project, showing a good grasp of the underlying libraries. They demonstrated an ability to debug and improve existing code, maintaining code quality by adhering to PEP8 guidelines.
neuroimagingpythonworkflow-enginebrain-imagingbig-data
blakedewey/phase_unwrap
Oct 2022 - Jun 2024
A simple, laplacian-based unwrapping tool for MRI phase images in Python
Contributions:3 releases, 2 PRs, 22 pushes in 1 year 8 months
pythonunwrappinglaplacianmriphase
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.