Katherine Heller discusses multiple ways in which healthcare data is acquired and explains how machine learning methods are currently being introduced into clinical settings.
Katherine Heller is an assistant professor in Duke University’s Departments of Statistical Science, Computer Science, and Electrical and Computer Engineering and at the Center for Cognitive Neuroscience, where she develops new methods and models to discover latent structure in data, including cluster structure, using Bayesian nonparametrics, hierarchical Bayes, time series techniques, and other Bayesian statistical methods, and applies these methods to problems in the brain and cognitive sciences, human social interactions, and clinical medicine. Previously, she was an NSF postdoctoral fellow in the Computational Cognitive Science Group at MIT and an EPSRC postdoctoral fellow at the University of Cambridge. Katherine has been the recipient of a first-round NSF BRAIN Initiative award, a Google faculty research award, and an NSF CAREER award. She holds a PhD from the Gatsby Unit at University College London.
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