His works include building automatic speech recoginition systems, federated learning. Prior to this, a machine learning scientist in the Information Sciences (CCS-3) group at LANL. His works on high performance computing (HPC), performance modeling, natural language processing, deep/machine learning and high perfomance linear algebra (matrix and tensor decompositions).
He worked on a couple of interesting projects in machine learning. One is nonnegative matrix and/or tensor factorizations with unspuervised learning and distributed computing. Next build parameterized software/hardware models for performance prediction while employing probabilistic learning. Another intersting project is NLP with deep learning for Cancer pathology reports.