PeopleofSuperintelligence

Researcher

Andriy Fedorov

Also known as Andrey Fedorov

Andriy Fedorov is a medical-imaging researcher whose open tools and data resources support reproducible AI. At William & Mary, his image-registration work for brain surgery won a 2007 university award, and he joined Harvard’s Surgical Planning Laboratory in 2009 after earning a computer-science PhD. He contributed to 3D Slicer, co-led the NCI-funded QIICR project, and coauthored the PyRadiomics paper and a study of reproducible machine learning in computational pathology. In April 2025, he presented MHub at ISBI, and in January 2026 he coauthored MHub.ai; he is an associate professor of radiology at Harvard Medical School.

Works
223
Citations
24,915
h-index
36
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2007

    Brain-surgery imaging award

    As a Computer Science PhD student at William & Mary, he develops an algorithm that registers presurgical MRI images to scans taken during surgery. His project wins the 2007 Award for Excellence in Scholarship in the Natural and Computational Sciences.

  2. 2009

    Joining the Surgical Planning Laboratory

    After earning a PhD in Computer Science from William & Mary, he joins the Surgical Planning Laboratory in the Department of Radiology at Brigham and Women’s Hospital and Harvard Medical School in 2009.

  3. 2012

    MultiVolumeImporter for 3D Slicer

    The MultiVolumeImporter module for 3D Slicer starts development at the 2012 NA-MIC Project Week in Salt Lake City, with Fedorov among its contributors. It loads multiple images as one multi-volume.

  4. 2013–2018

    Co-leading the QIICR project

    With Ron Kikinis, he serves as co-PI of the NCI-funded Quantitative Image Informatics for Cancer Research (QIICR) project from 2013 to 2018. The project develops open-source informatics technology for quantitative imaging biomarkers and interoperable sharing of imaging-biomarker data through DICOM.

  5. 2017

    PyRadiomics for radiomic features

    In 2017, he coauthors the PyRadiomics paper, which describes an open-source Python package for reproducible extraction of radiomic features from medical images.

  6. 2023

    Testing the Imaging Data Commons

    He coauthors a 2023 study of the NCI Imaging Data Commons as a platform for reproducible research in computational pathology. The experiments train or evaluate lung-tumor tissue classifiers across datasets.

  7. April 2025

    MHub at ISBI

    At ISBI in April 2025, he presents MHub, a one-command framework that packages medical-imaging machine-learning models in Docker containers and runs DICOM data. Its 26 models cover CT, MR, and other modalities, and generate harmonized outputs.

  8. As of October 2026

    Associate professor and MHub.ai coauthor

    As of October 2026, he is an associate professor of radiology at Harvard Medical School, in the Department of Radiology at Brigham and Women’s Hospital. In January 2026, he coauthors MHub.ai, an open-source, container-based platform that standardizes access to AI models for medical imaging.

Career

  1. Since 2007Mass General BrighamAssociate Professor of Radiology
  2. NowHarvard Medical SchoolAssociate Professor of Radiology
  3. 2023–2026Old Dominion University
  4. 2011–2026Harvard University
  5. From 2009Department of Radiology

Education

  1. William & MaryPhD

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Harvard University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Harvard University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Harvard University. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  4. 44% of AI career moves go from one university to anotherIncludes Harvard University. We estimate how 26,439 AI career moves link universities, companies, labs, nonprofits and government research centers, with decade counts, net flows and the top paths.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Andriy Fedorov yet. Send us a free-licensed photo.

  1. Research by Andriy Fedorov '08 Wins Top Award at Graduate Research Symposium wm.edu. Checked 21 October 2026.
  2. Andrey Fedorov, PhD | Surgical Planning Lab spl.harvard.edu. Checked 21 October 2026.
  3. MultiVolumeImporter — 3D Slicer documentation slicer.readthedocs.io. Checked 21 October 2026.
  4. Completed Collaborations | Neuroimaging Analysis Center nac.spl.harvard.edu. Checked 21 October 2026.
  5. Welcome to pyradiomics documentation! — pyradiomics v3.1.0 documentation pyradiomics.readthedocs.io. Checked 21 October 2026.
  6. The NCI Imaging Data Commons as a platform for reproducible research in computational pathology arxiv.org. Checked 21 October 2026.
  7. Tutorials – ISBI 2025 biomedicalimaging.org. Checked 21 October 2026.
  8. MHub.ai: A Simple, Standardized, and Reproducible Platform for AI Models in Medical Imaging arxiv.org. Checked 21 October 2026.