Jeff is a system architect at Intel. His academic training is in computational chemistry, which led him to study better ways of solving linear algebra problems and moving data asynchronously on supercomputers. He has published more than 50 papers on a range of topics, including tensor contractions and one-sided communication. He has a tangential interest in the use of machine learning to build models for atomic and molecular interactions.
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