Bradley Rava

Ph.D. Candidate in Data Sciences and Operations

B.S. Applied and Computational Mathematics

Bradley is a Ph.D. student of Statistics at USC Marshall. He received his bachelors at USC in applied math and has also previously studied at Yale University and the London School of Economics.

His research interests lie in fairness and transparency in machine learning, empirical bayesian techniques, and high dimensional statistics. Bradley's research has also been supported by the National Science Foundations Graduate Research Fellowship in Mathematical Statistics.
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