Optimizing FAIR Data and Storage Management for High Throughput Pipelines in Life Science Environments -- Virtualization Review

Optimizing FAIR Data and Storage Management for High Throughput Pipelines in Life Science Environments

Date: Tuesday, January 28^th at 11am PT / 2pm ET

The application of high throughput screening and machine learning in life sciences, particularly in genomics, drug discovery, personalized medicine, and biomedical imaging, is generating unprecedented amounts of data that must be preserved effectively forever. This data explosion necessitates robust, scalable storage solutions to accommodate vast datasets and support AI-driven analysis with FAIR data presentation.

Join us as we talk with John Leonardini, principal storage engineer at Eikon Therapeutics, a biopharmaceutical firm conducting pioneering research that combines high resolution microscopy, advanced laboratory automation and next generation software tools. Eikon’s workflows drives massive data requirements- extreme performance to capture and process insights and a large-scale archive to store the outcomes and raw data for future use.

In this session, Eikon and Quantum will discuss how new storage technologies play a critical role in Eikon’s research and development and the data management requirements for an end-to-end AI infrastructure to further their mission.

Register now!

About the presenters:

John Leonardini, Principal Storage Engineer, Eikon Therapeutics

Tim Sherbak, Enterprise Products and Solutions, Quantum

Duration: 1 hour

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