John Muschelli - Research Associate Professor

John Muschelli

Research Associate Professor

Baltimore, Maryland, United States

Join Prog.AI to see contacts

Summary

👤

Senior

🎓

Top School

John Muschelli is a Research Associate Professor and biostatistician with 14 years of experience building end-to-end data pipelines and statistical tools for neuroimaging and clinical CT analysis. Based at Johns Hopkins, he combines hands-on engineering—packaging R software, Shiny apps, and CI-driven Python builds—with rigorous applied research that directly informs patient care, especially in stroke and intracranial hemorrhage. His open-source contributions span medical imaging projects like ANTs/ANTsPy (build automation and ITK work) and quality-focused testing for R packages, reflecting a rare mix of low-level devops, QA, and statistical modeling. He has repeatedly turned slow reporting workflows into dynamic, reproducible products and has led technology efforts as a co-founder/CTO, demonstrating both academic depth and practical delivery.

15 years of coding experience

8 years of employment as a software developer

Doctor of Philosophy (PhD), Biostatistics, Doctor of Philosophy (PhD), Biostatistics at Johns Hopkins Bloomberg School of Public Health

BS, Biomathematics, BS, Biomathematics at University of Scranton

English

Stackoverflow

Stats

1,125reputation

144kreached

13answers

2questions

Badges

yaml

top-5%

knitr

top-5%

Github Skills (37)

unit-testing10

c-language10

scripting10

r10

cmake10

testthat10

cicd10

automation10

script10

sh10

automations10

shell10

cprogramming-language10

cran10

python9

Programming languages (20)

PowerShellJavaC++CSSCRustCMakeTeX

Github contributions (5)

ANTsX/ANTsPy

Jan 2020 - Dec 2020

A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

Role in this project:

DevOps Engineer & Automation Engineer

Contributions:44 commits, 1 PR, 7 comments in 10 months

Contributions summary:John primarily focused on configuring and adapting the build and deployment process for the project. Their contributions involved modifying scripts for continuous integration, including Appveyor and Travis, and updating configuration files for various platforms. The user addressed environment variables, Python versioning, and dependencies, indicating a focus on automation and build stability. Further, their changes to ITK configuration and file structures suggest involvement in the automated build process of the ITK dependency.

imagingpythonsegmentationmedical-imagingneuroimaging

ANTsX/ANTs

Jun 2017 - Aug 2018

Advanced Normalization Tools (ANTs)

Role in this project:

Back-end Developer

Contributions:43 commits, 9 PRs, 8 comments in 1 year 2 months

Contributions summary:John's contributions primarily involve modifying and updating the codebase of the ANTs project, specifically focusing on build and compilation processes. They adjusted the ITK version used and addressed potential warnings in the code. Moreover, the user has attempted to resolve thread-related issues and improve functionality related to iMath functions.

antsnormalizationimage-registrationimage-segmentationmedical-image-processing

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.

Request Free Trial