Corey Adams, ANL

Corey Adams is an assistant computer scientist at the Argonne Leadership Computing Facility.  Originally a high energy physicist working on neutrino physics problems,  he now works on applying deep learning and machine learning techniques to science problems – and still neutrino physics – on high performance super computers.  He has experience in classification, segmentation, sparse convolutional neural networks as well as running machine learning training at scale.

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