Jonathan Miller has 23 years of experience in statistics, machine learning, and algorithm development in a wide range of applications. As a senior scientist with he designed algorithms to characterize brain injury based on EEG signals, including the algorithm that currently operates in the flagship commercial product for BrainScope. This algorithm achieved high performance in a 2016 FDA clinical trial, a result which Jonathan accurately predicted using a Monte Carlo statistical model. Prior to BrainScope, Jonathan worked at SAIC where he contributed in several areas, including as PI on three federally funded multi-year research projects developing algorithms to classify buried objects based on metal detector signals collected at the surface. His algorithms are currently embedded in commercial software used to analyze geotechnical survey data at military clean-up sites. Jonathan holds a B.A. in Physics from Macalester College and in Civil Engineering from Princeton University.
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