Andrey Fedorov
Associate Professor
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrey Fedorov is an Associate Professor in Radiology at Harvard Medical School and a research lead at Brigham and Women's Hospital with 17 years of experience translating image computing into clinical research. He co-leads development of the National Cancer Institute Imaging Data Commons, building infrastructure and best practices that make imaging studies more transparent, shareable, and reproducible. Trained as a computer scientist (PhD), he has spent the last 15 years at BWH Surgical Planning Lab focusing on evaluation and clinical translation of image-analysis tools. An active open-source contributor, he has enhanced core radiomics algorithms in the widely used pyradiomics package, reflecting a blend of deep algorithmic work and practical engineering. Colleagues rely on him for rigorous validation methods and for bridging academic research with deployable data platforms.
17 years of coding experience
12 years of employment as a software developer
BS, Information Technologies and Engineering, BS, Information Technologies and Engineering at Ternopil Academy of National EconomyPhD, Computer Science, PhD, Computer Science at William & Mary
English, Russian, Ukrainian
Stackoverflow
59reputation
0reached
1answer
0questions
Github Skills (5)
medical-imaging10
python10
feature-extraction10
stackexchange-redis6
redis6
Programming languages (19)
Github contributions (5)
AIM-Harvard/pyradiomics
Sep 2015 - Sep 2021
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
Role in this project:
Backend Developer
Backend DeveloperContributions:2 reviews, 182 commits, 34 PRs in 6 years 1 month
Contributions summary:Andrey primarily contributed to enhancing and extending the functionality of the `pyradiomics` library. They implemented and refined first-order radiomics features, demonstrating a focus on the core algorithms of the package. Furthermore, the user made improvements to the layout, including setting up the build process, incorporating a license, and updating the feature extraction parameters. They also contributed to the documentation and tests.
nci-qinextractionpythonradiomics-feature-extractiontcia-dac
fedorov/highdicom
Apr 2021 - Feb 2025
High-level DICOM abstractions for the Python programming language
Contributions:2 PRs, 9 pushes, 2 branches in 3 years 10 months
python-programmingpythonhigh-leveldicomrelational-algebra
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