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, computational chemistry, bioinformatic analysis of omics data, and other applications of computational and data science.
In 2019 and 2020, we won medical imaging AI challenges on cancer tumor segmentation. In 2020, we benchmarked single-cell RNA sequencing technologies as part of a multicenter study and in 2022, a publication with our quantum chemistry calculations was selected as one of the most interesting articles in the journal of Photochemistry and Photobiology.
Our groups regularly publish in top-tier journals on bioinformatics, immunology, image analysis, computational chemistry, and knowledge integration.