We are interested in applying computer science methods to problems of relevance to the life sciences. Specifically, we apply graph theory, security and privacy management, data management, natural language processing, information retrieval, workflow provenance management, and machine learning to biomedical problems. These problems include the identification of biological relationships such as protein-protein interactions and pathways, management of probabilistic and semi-structured biological data, sequence alignment, gene expression data classification, and the classification and analysis of medical records.
We bring our research results to fruition through the National Center for Integrative Biomedical Informatics, one of seven national centers for biomedical computing set up by NIH as part of its "road map" to the future.
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