Generate a tailored SOP for Dr. Philip Stark. Improve your application with a focused, well-structured draft.
Philip B. Stark is a distinguished professor of statistics at UC Berkeley, specializing in uncertainty quantification, risk assessment, election auditing, and reproducible science. His research aims to develop statistical methods that provide rigorous confidence measures in various scientific policy contexts, physical sciences, and clinical trials in public health. Stark's contributions to risk-limiting audits have significantly transformed election verification practices in the United States. He is dedicated to promoting transparency, trustworthiness, and accountability in data-driven decision-making. As a member of the American Academy of Arts and Sciences and a fellow of the American Statistical Association, Stark also mentors students in applied statistics, data ethics, and scientific integrity. His extensive research interests include elections, astrophysics, statistics, law, litigation, causal inference, uncertainty quantification, and social justice. He actively engages in community-based research partnerships to support public impact research and scholarship while addressing issues such as climate change, natural disasters, and sustainable food systems.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.