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About iDas

The iDAS Lab hosts trainees and researchers in computational science and informatics to design algorithms and develop methods for faster and more accurate predicative analytics and information search through large-scale information sources in biomedicine, engineering, and plant sciences with storytelling values for actionable decisions. Building upon rich research foundations, the lab has four active research directions in exploratory mining, Big Data search, visual knowledge retrievals, and block chains. All theoretical works developed in the iDAS lab are required to be tested on real-world data sets, such as HealthFacts® (60 million patients), National Impatient Sample (NIS), TCGA data, PDB, Simons Foundation Autism Research Initiative data, etc.