Bramsh Chandio - Assistant Professor Of Biomedical Engineering at Diffusion Imaging in Python

Bramsh Chandio

Assistant Professor Of Biomedical Engineering at Diffusion Imaging in Python

United States

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Summary

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Senior

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Bramsh Chandio is an Assistant Professor of Biomedical Engineering at West Virginia University and a computational neuroimaging researcher with nine years of experience building reproducible tools for diffusion MRI analysis. He develops methods for white matter tract segmentation, denoising, shape and statistical analysis, nonlinear registration, and scanner harmonization—work he packages and documents in the widely used open-source DIPY library. After a PhD in Intelligent Systems Engineering at Indiana University and a postdoc at USC, he has combined academic rigor with hands-on software engineering, contributing core backend workflows (e.g., RecoBundles and tract analysis pipelines) to dipy/dipy. He has also bridged academia and industry as a CTO and mentor in open-source programs, bringing product-minded thinking to neuroimaging tool development. Notably, his public tutorials and code lower the barrier for others to perform tract-specific analyses across multi-site datasets.

9 years of coding experience

8 years of employment as a software developer

Doctor of Philosophy - PhD Intelligent Systems Engineering, Doctor of Philosophy - PhD Intelligent Systems Engineering at Indiana University Bloomington

Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at National University of Computer and Emerging Sciences

English, Sindhi, Urdu

Github Skills (7)

medical-imaging10

diffusion-mri10

python10

neuroimaging10

tractography9

machine-learning9

trac8

Programming languages (1)

Python

Github contributions (5)

dipy/dipy

May 2018 - May 2021

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Role in this project:

Back-end Developer

Contributions:30 reviews, 224 commits, 22 PRs in 3 years

Contributions summary:Bramsh primarily contributed to the development of workflows for the `dipy/dipy` repository. The contributions involved implementing new workflows, specifically for recognizing and analyzing white matter bundles within diffusion MRI data. These changes include introducing new classes and functions related to bundle analysis, with code modifications focused on features like RecoBundles, and the application of Linear Mixed Models.

3dimagingmachine-learningpythonsignal-processing

BramshQamar/dipy

Jan 2018 - Mar 2026

Diffusion MR Imaging in Python

Contributions:4 PRs, 245 pushes, 28 branches in 8 years 2 months

diffusionpythonimaging

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