Granger Sutton, Ph.D.
Data Scientist
- Center for Biomedical Informatics & Information Technology
- Informatics and Data Science Program
- Data Ecosystems Branch
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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.
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Projects
Projects
Focuses on both imaging data artificial intelligence-readiness and the curation of harmonized tools/models in a central repository.
Addresses and implements best practices for the protection of patient privacy in clinical image sharing.
Connects you to the data ecosystem, NCI's primary platform for cancer research. -
Publications
Publications
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.
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In the News
In the News
A multidisciplinary team consists of many different responsibilities. Where do you fit in? Read opinions from three NCI CBIIT experts to find out! -
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