Philip B. Stark is Professor of Statistics at the University of California, Berkeley. He works on nonparametric inference and the quantification of uncertainty in applications including astrophysics, carbon sequestration, the U.S. Census, climate, clinical trials, cosmology, ecology, elections, epidemiology, particle physics, geophysics, gender bias, lottery fraud, signal processing, and urban foraging. Methods he developed for auditing elections ("risk-limiting audits") are in law in about a dozen U.S. states. He has been an expert witness in dozens of civil and criminal cases and has consulted for the US Departments of Agriculture, Commerce, Housing and Urban Development, Justice, and Veterans Administration; the Federal Trade Commission; the California, Colorado, and New Hampshire Secretaries of State; and several state attorneys general. He serves on the Board of Advisors of the U.S. Election Assistance Commission.