Brad Rava is a Lecturer in the discipline of Business Analytics at the University of Sydney's Business School. His research focuses on Empirical Bayes techniques, Fairness in Machine Learning, Statistical Machine Learning, and High Dimensional Statistics.
Prior to joining the University of Sydney, Brad completed his Ph.D. in Statistics at the University of Southern California’s (USC) Marshall School of Business in the Department of Data Sciences and Operations, advised by Dr. Gareth James and Dr. Xin Tong. His graduate studies were supported by the NSF’s Graduate Research Fellowship, USC’s Marshall Fellowship, and USC’s Global Branding Fellowship. Brad also completed his undergraduate degree from USC in Applied Mathematics.
