Scott Temple is a staff scientist at the Laboratory for NanoIntegrated Systems at the University of Utah where he maintains LSOracle and pursues related research into the application of machine learning to logic optimization.
He received a B.S. in Physics from the University of Utah in 2014. Prior to joining LNIS, he worked in industry as a data scientist and data engineer.
Special Session (Research Track)
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