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The Department of Arithmetic welcomes Scott Spencer as a brand new postdoc. Scott received his PhD from Georgia Tech under the steering of Professor Michael Lacey. His analysis is mainly in Harmonic Evaluation. “I work in harmonic evaluation and signal processing, significantly the place these fields have functions to or from machine learning and likelihood,” Spencer says. “It is rather interesting when a deterministic downside might be nearly solved, i.e. with high chance, by a random building,” Scott adds. More recently, Scott Spencer has been learning Boolean features with certain sparse characteristics with the hope of applying his work in compressive sensing to learning Boolean capabilities.
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