Chris Gorgolewski
Member Of Technical Staff at Anthropic
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolChris Gorgolewski is a researcher and seasoned engineering leader with 16 years of experience at the intersection of neuroimaging, machine learning, and product development. He has led open-source projects and production tools used by thousands—co-directing Stanford’s Center for Reproducible Neuroscience and contributing major features to flagship neuroimaging libraries like nilearn and fMRIPrep. At Google he bridged research and product as a Senior PM and engineer focused on ML-powered developer tools and Dataset Search, bringing generative AI into practical workflows. His background spans deep technical work (C++ and Python tooling, QA/test automation, visualization) to product strategy, DevOps and documentation, enabling reproducible, large-scale brain imaging pipelines. Notably, he helped design and ship BIDS-related tools and validators that are now standards in the community, and built image-processing and viewer enhancements used in medical research software. Based in New York, he combines academic rigor (PhD in Neuroinformatics) with hands-on engineering to deliver reproducible, user-focused scientific software.
16 years of coding experience
10 years of employment as a software developer
PhD Neuroinformatics, PhD Neuroinformatics at The University of EdinburghIntelligent Decision Support Systems, Intelligent Decision Support Systems at Poznan University of TechnologyCognitive Science, Cognitive Science at Uniwersytet im. Adama Mickiewicza w Poznaniu
English, Polish, German
Stackoverflow
611reputation
68kreached
8answers
4questions
Github Skills (49)
nipype10
javascript10
c-language10
pytest10
python10
apidoc10
image-processing10
medical-image-processing10
brain-imaging10
testing10
data-set10
machine-learning10
data-management10
plot10
datasets10
Programming languages (22)
Github contributions (5)
nipreps/fmriprep
Aug 2016 - Mar 2019
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:16 releases, 719 commits, 267 PRs in 2 years 7 months
Contributions summary:Chris contributed to fMRIPrep by implementing changes to the core pre-processing pipeline, particularly to improve handling of bias field correction and skull stripping. They also refactored aspects of the processing workflow and fixed bugs related to the application of transforms and the generation of reports. Furthermore, the user was also responsible for setting up the integration of FreeSurfer and ensuring that the correct outputs are generated, particularly, for the anatomical preprocessing pipeline. The user also made changes to the documentation.
neuroimagingdiversetransparentpipelinefmriprep
rordenlab/dcm2niix
Dec 2015 - Jan 2017
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
Role in this project:Back-end Developer
Back-end DeveloperContributions:31 commits, 12 PRs, 5 pushes in 1 year
Contributions summary:Chris primarily contributed to enhancing the BIDS (Brain Imaging Data Structure) output functionality of the `dcm2niix` tool. They implemented features such as adding manufacturer and field strength fields to the BIDS JSON files. The user also made several changes to align with BIDS standards, including updating the image type representation and modifying the handling of spaces and tabs in output files. Furthermore, the user refactored the code by changing from C-style string manipulation to the use of modern C++ string features.
neurosciencedcmdicom-imagesbids-formatjpeg
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