Philip B. Stark is Professor of Statistics, Associate Dean of Mathematical and Physical Sciences, and Director of the Statistical Computing Facility at the University of California, Berkeley. He has been a visiting professor at Tel Aviv University (in Statistics) and the IT University of Copenhagen (in Theoretical Computer Science).
Stark’s research focuses on uncertainty quantification and risk assessment. Applications include the Big Bang, causal inference, the U.S. Census, climate modeling, earthquake prediction and seismic hazard, election integrity, endangered species, epidemiology, educational evaluation, educational technology, food web models, the geomagnetic field, geriatric hearing loss, information retrieval, Internet content filters, nonparametrics (constrained confidence sets for functions and probability densities, permutation methods), risk assessment, the seismic structure of Sun and Earth, spectroscopy, spectrum estimation, sustainable food systems, and uncertainty quantification for computational models of complex systems.
Methods he developed for auditing elections have been incorporated into laws in California and Colorado. Methods for data reduction and spectrum estimation he developed or co-developed are part of the Øersted geomagnetic satellite data pipeline and the Global Oscillations Network Group (GONG) helioseismic telescope network data pipeline.
Stark has consulted for many government agencies, Fortune 50 companies, and top law firms, on topics including truth in advertising, election contests, equal protection, intellectual property and patents, jury selection, trade secrets, employment discrimination, import restrictions, construction defects, insurance, mortgage-backed securities, natural resource legislation, environmental litigation, wage and hour class actions, product liability class actions, consumer class actions, clinical trials, signal processing, geochemistry, IC mask quality control, behavioral targeting, water treatment, white-collar crime, Qui Tam (whistleblower), torts, utility regulation, sampling the web, First Amendment protections, risk assessment, credit risk models, and oil exploration. He has been qualified as an expert on statistics in state and federal courts and has testified to several legislative bodies, including a U.S. House of Representatives Subcommittee and both houses of the California legislature. He currently serves on the Board of Advisors of the U.S. Election Assistance Commission.
Stark received an NSF Postdoctoral Fellowship in Mathematical Sciences, a Presidential Young Investigator Award, the John Gideon Award for Election Integrity, the Chancellor’s Award for Research in the Public Interest, the Leamer-Rosenthal Award for Transparency in Social Science, a Velux/Villum Foundation Visiting Professorship, and a Miller Research Professorship. He is a fellow of the American Statistical Association and the Institute of Physics and is professionally accredited as a statistician and a physicist.
Stark holds an AB in Philosophy from Princeton University and a Ph.D. in Earth Science from the University of California, San Diego.