Pate Motter, PhD, is an accomplished software engineer and researcher with extensive experience in high-performance computing, machine learning, and software development. Key roles include positions at Google as a Software Engineer focusing on TPU performance, and previous roles at Amazon Web Services, enhancing HPC applications and generative models for Alexa AI. Pate's research background includes collaborative projects at the University of Colorado Boulder, where doctoral studies emphasized machine learning applications in numerical linear algebra, alongside undergraduate research at institutions such as UC Santa Cruz and the University of Illinois at Urbana-Champaign. Pate holds a PhD and M.S. in Computer Science from the University of Colorado Boulder and a B.S. in Computer Science from the University of Arkansas at Fayetteville.
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