Dylan Snover is a Principal Scientist at BAE Systems, Inc., specializing in the application of machine learning and artificial intelligence in signal processing and sensor exploitation within the Cognitive RF group at BAE FAST Labs. Prior experience includes serving as a Staff Research Scientist at Boston Fusion, where Dylan led a Synthetic Aperture Sonar R&D project focused on artificial intelligence for object detection. Between 2018 and 2020, Dylan was a Machine Learning Researcher and Graduate Student at UC San Diego, concentrating on the classification of cultural noise using deep learning techniques. Earlier roles include Geophysics Research Associate at the US Bureau of Reclamation, developing strong motion data acquisition systems and analyzing seismic data, as well as a Geophysical Intern at Hager-Richter Geoscience, Inc., gaining hands-on experience in geophysical field operations. Dylan holds a Master's degree in Geophysics and Seismology from UC San Diego and a Bachelor's degree in Geophysics from the University of Colorado Boulder.
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