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Adityanand Guntuboyina is an Associate Professor and Deputy Chair in the Department of Statistics at the University of California, Berkeley. His research focuses on nonparametric high-dimensional statistics and includes topics such as shape constrained statistical estimation, empirical processes, and statistical information theory. With a strong foundation in statistical analysis and theories, Guntuboyina contributes to advancing methodologies in high-dimensional data settings, addressing the complexities and challenges associated with statistical inference in these contexts. His work has implications in various applied fields where high-dimensional data is prevalent, making him a thought leader in contemporary statistical research. He is actively involved in educating the next generation of statisticians and participates in collaborative research projects that further enhance the understanding of statistical methodologies.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.