The National Consortium for Data Science (NCDS), is pleased to announce the return of DataBytes, a free webinar series designed to showcase diverse and innovative work in data science.
The growing availability of biomedical data offers vast potential to improve human health, but the complexity and lack of integration of these datasets often limit their utility. To address this, the Biomedical Data Translator Consortium has developed an open-source knowledge graph–based system—Translator—designed to integrate, harmonize, and make inferences over diverse biomedical data sources. To demonstrate Translator’s application and impact, Chris Bizon will highlight features of the user interface in the context of three real-world use cases: suggesting potential therapeutics for patients with rare diseases; explaining the mechanism of action of a pipeline drug; and screening and validating drug candidates in a model organism.
Key takeaways include the following:
Chris Bizon is the director of Analytics and Data Science. He leads a team that applies a range of analytical methods including knowledge graphs, machine learning, visual analytics, semantic web-based reasoning, and textual annotation across many domains. He joined RENCI in 2008 as a member of the informatics group, where he worked in the areas of high-throughput sequencing, genomic analysis, and clinical genomics. Prior to joining RENCI, he spent a decade in the private sector working as both a developer and a researcher in the areas of fluid dynamics simulations and the application of machine learning to drug discovery. He holds a BS in Physics from the University of North Carolina at Chapel Hill and a PhD in Physics from the University of Texas at Austin, where he developed numerical models of nonlinear phenomena including pattern formation in oscillated granular media.
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