Data Science is a multidisciplinary field concerned with the generation of information and knowledge from diverse and heterogeneous component data sources. Data scientists employ a variety of quantitative and computational methods to place complex data sets in context and render them actionable in the form of human or computer interpretable knowledge.
The Data Science Division of the Department of Biomedical Informatics is home to a variety of research, development and educational programs that seek to apply data science principles to driving biological and clinical problems. Examples of such efforts include:
- The design and evaluation of algorithms capable of identifying meaningful patterns and motifs in "big data" contexts
- The integration and analysis of bio-molecular and phenotypic data sets to enable hypothesis generation, pattern recognition and quantitative analyses
- The visualization of multi-dimensional data, information, and knowledge collections
- Data and text mining to support feature extraction from both unstructured and semi-structured information resources
Services available within this division and research area: