The Advanced Biomedical Computational Science team focuses on applications of bioinformatics, computational and data science, and artificial intelligence to problems in cancer, infectious disease, immunology, rare disease, HIV and other specialized areas in biomedical research.
Our scientists provide expertise, consultation, collaborative research, and project support in a broad range of computational and data science domains to Frederick National Laboratory, National Cancer Institute and National Institutes of Health and other federal researchers and staff.
Our Advanced Biomedical Computational Science team encompasses specialized groups focusing on machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration with immunology, bioinformatic analysis of omics data, and other applications of computational and data science.
In 2020, we won the medical imaging AI Grand Challenges on cancer tumor segmentation.
Our groups regularly publish in top-tier journals on bioinformatics, immunology, imaging, computational chemistry, structural biology and knowledge integration.