Neuromorphic Computing and Machine Learning
Katie Schuman is a Research Scientist in Computational Data Analytics at Oak Ridge National Laboratory. Katie received her doctorate in computer science from the University of Tennessee in 2015, where she completed her dissertation on the use of evolutionary algorithms to train spiking neural networks for neuromorphic systems. She is continuing her study of models and algorithms for neuromorphic computing, as well as other topics in artificial intelligence and machine learning, as part of her work at ORNL. Katie is also an adjunct assistant professor at the University of Tennessee, where she, along with four other professors at UT, leads a neuromorphic research team made up of more than 25 faculty members, graduate student researchers, and undergraduate student researchers.