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.