Philip B. Stark is Professor of Statistics at University of California, Berkeley where he developed the university's first online course. He has published research on the Big Bang, causal inference, the census, earthquake prediction, election auditing, food web models, the geomagnetic field, geriatric hearing loss, information retrieval, Internet content filters, nonparametrics, the seismic structure of Sun and Earth, spectroscopy, spectrum estimation, and uncertainty quantification for computational models of complex systems. He has consulted for the U.S. Departments of Agriculture, Commerce, Housing and Urban Development, Justice, and Veterans Affairs; the Federal Trade Commission; the California and Colorado Secretaries of State; the California Attorney General; and the Illinois State Attorney. He has testified to Congress and the California legislature, and in litigation concerning employment, environmental protection, equal protection, lending, intellectual property, jury selection, import restrictions, insurance, natural resources, product liability, trade secrets, and advertising. He received his AB from Princeton University and his Ph.D. from UCSD.