Robert Underwood is a Post Doctoral Appointee at Argonne National Laboratory. He earned his PhD at Clemson University. His research interests involve using approximate computing methods such as lossy data compression to accelerate parallel and distributed computing while ensuring that scientific data integrity is preserved. He is currently working on using optimization based approaches to configure lossy compression and transfer learning.
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