Granger Sutton, Ph.D.

Data Scientist

  • Current Role

    Current Role

    As a data scientist in the Data Ecosystems Branch, I focus on artificial intelligence (AI) and imaging to support the Cancer Research Data Commons (CRDC) and related projects. I also work as a computer scientist, bioinformatician, and computational biologist with research interests in cancer, infectious diseases, biological databases, imaging, AI, cloud applications, genome assembly, pan-genome analysis, and large-scale genomic analysis.

  • Projects

    Projects

    Stylized image of a brain as viewed from the top. Instead of brain structures the brain is portrayed as a series of interconnected lines and dots.

    Artificial Intelligence in Medical Imaging

    Focuses on both imaging data AI-readiness and the curation of harmonized tools/models in a central repository.
    Stylized photo of a scientist peering at a computer screen showing different views of a brain image. The doctor is wearing a lab coat, surgical mask, surgical gloves, and surgical cap. To the left of the image is another graphic showing a locked padlock against a background of interconnected lines and dots.

    Medical Image De-identification Initiative (MIDI)

    Addresses and implements best practices for the protection of patient privacy in clinical image sharing.
    Photo shows a female scientist in a laboratory setting. She’s looking at brain images on a computer screen.

    Medical Imaging Challenge Cloud Infrastructure (MedICCI)

    Benchmarks imaging analysis tools using annotated data sets.
    Stylized image of a cloud showing repositories of data represented by circles with small icons hovering over top. The repositories include canine, imaging, genomic, and other types of data.

    NCI Cancer Research Data Commons (CRDC)

    Connects researchers with data sets and tools to analyze large- scale cancer research data in the cloud.
  • Publications

    Publications

    View Granger’s PubMed Summary

    Featured Publications

    A Pan-genome Method to Determine Core Regions of the Bacillus subtilis and Escherichia coli Genomes. F1000 Research, 2021.

    Gene and Alternative Splicing Annotation with AIR. Genome Research, 2005.

  • Background

    Background

    Education

    • Ph.D., Computer Science, University of Maryland, College Park
    • M.S., Computer Engineering, Stanford University
    • B.S., Electrical Engineering, University of Maryland, College Park

    Previous Work

    • Bioinformatics Consultant
    • Expert Witness
    • Professor, Informatics, J. Craig Venter Institute
    • Senior Director of Informatics, J. Craig Venter Institute
    • Senior Computational Scientist, J. Craig Venter Institute
    • Principal Scientist/Director, Informatics Research, Celera Genomics
    • Computer Scientist, The Institute for Genomic Research
    • Technical Staff Member, AT&T Bell Labs