PeopleofSuperintelligence

Researcher

Christopher Bridge

Christopher Bridge is a medical-imaging researcher whose AI work spans fetal ultrasound, clinical radiology, and breast imaging. He earned a BA and an MEng at Cambridge in 2013 and a DPhil at Oxford in 2017 focused on machine learning for fetal cardiac ultrasound. He joined MGB's Data Science Office and later the Martinos Center, then coauthored work on AI-annotated lung CT collections, brain-tumor segmentation, and patient re-identification from imaging features. As of October 2026, he is an Assistant Professor of Radiology at Harvard Medical School, and he coauthored DBT-DINO for digital breast tomosynthesis in 2026.

Works
131
Citations
1,950
h-index
26

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 2013

    Degrees at Cambridge

    He earns a BA and an MEng at the University of Cambridge in 2013.

  2. 2015

    Fetal ultrasound localization

    In 2015, he coauthors a paper on object localization in fetal ultrasound images using invariant features.

  3. 2017

    An Oxford DPhil

    He completes a DPhil at the University of Oxford in 2017 for research applying machine learning to fetal cardiac ultrasound videos. His 2017 paper in Medical Image Analysis describes automated annotation and quantitative description of fetal-heart ultrasound videos.

  4. 2017

    Clinical AI at MGB

    In 2017, he joins the MGB Data Science Office, where he works on collaborations to develop AI models for clinical medicine.

  5. 2020–2021

    Instructor at Martinos

    In 2020, he joins the Martinos Center and works in the Quantitative Translation Imaging in Medicine Laboratory; in 2021, he becomes an Instructor in Radiology.

  6. 2024

    AI annotations for CT data

    In 2024, he coauthors a Scientific Data paper on AI-derived annotations for the NLST and NSCLC-Radiomics computed tomography collections.

  7. January 2024

    Expert review of tumor segmentation

    In January 2024, he coauthors an expert-centered study on how specialists assess deep-learning algorithms for brain-tumor segmentation.

  8. July 2025

    Patient re-identification risks

    A July 2025 study he coauthors finds that imaging features from foundation models in ophthalmology and radiology can lead to patient re-identification.

  9. 2026

    DBT-DINO for breast imaging

    In 2026, he coauthors DBT-DINO, a foundation-model-based study of digital breast tomosynthesis.

  10. As of October 2026

    Assistant Professor at Harvard

    As of October 2026, he is an Assistant Professor of Radiology at Harvard Medical School. He works in the Quantitative Translational Imaging in Medicine Laboratory at the Athinoula A. Martinos Center for Biomedical Imaging.

Career

  1. Since 2020Mass General Brigham
  2. NowHarvard UniversityAssistant Professor of Radiology

Education

  1. 2017University of OxfordDPhil
  2. 2013University of CambridgeBA
  3. 2013University of CambridgeMEng

From the biography.

Checked career sources: researchers.mgh.harvard.edu, rappaportfoundation.org, chrisbridge.science.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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

  1. Christopher Bridge, DPhil | Mass General Research Institute researchers.mgh.harvard.edu. Checked 27 October 2026.
  2. Dr Christopher P Bridge | Publications chrisbridge.science. Checked 27 October 2026.
  3. Christopher Bridge, PhD – Rappaport rappaportfoundation.org. Checked 27 October 2026.
  4. Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation - PMC pmc.ncbi.nlm.nih.gov. Checked 27 October 2026.
  5. Re-identification of patients from imaging features extracted by foundation models | npj Digital Medicine nature.com. Checked 27 October 2026.
  6. Dr Christopher P Bridge | Home chrisbridge.science. Checked 27 October 2026.