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Philip B. Stark is a Distinguished Professor in the Department of Statistics at the University of California, Berkeley. His research spans several fields, including uncertainty quantification, inference, inverse problems, and risk assessment. He has contributed to earthquake prediction and election auditing, and he is involved in various research centers focusing on social and physical sciences. His work revolves around confidence procedures that are tailored to specific goals for quantifying uncertainty. Stark has conducted research on the internal structure of the Sun and Earth, climate modeling, clinical trials, and urban foraging. He has also created SticiGui, an innovative online introductory statistics course that features interactive data analysis tools and has attracted over 52,600 students in its MOOC offerings. Stark has consulted in several areas, including litigation related to product liability, election security, and environmental issues.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.