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Sourya joined Galois in 2020 as a research engineer with a machine learning focus. He obtained his Ph.D. from the University of Southern California immediately prior, focusing on complexity reduction in deep learning. He first developed pre-defined sparsity to simplify neural networks, then created the AutoML framework Deep-n-Cheap to search for networks trading off performance with complexity. Prior to that, he obtained his bachelor’s degree from the Indian Institute of Technology Kharagpur in 2014.