Leave election integrity to chance
with Prof. Philip B. Stark
Saturday October 21, 2017 at 11:00 AM
100 Genetics & Plant Biology, UC Berkeley
Philip B. Stark is Associate Dean of the Division of Mathematical and Physical Sciences and Professor of Statistics at University of California, Berkeley.
Stark’s research centers on inference (inverse) problems, especially confidence procedures tailored for specific goals. Applications include the Big Bang, causal inference, the U.S. census, climate modeling, earthquake prediction, election auditing, food web models, the geomagnetic field, geriatric hearing loss, information retrieval, Internet content filters, nonparametrics (confidence sets for function and probability density estimates with constraints), risk assessment, the seismic structure of Sun and Earth, spectroscopy, spectrum estimation, and uncertainty quantification for computational models of complex systems. Numerical optimization is important to his work; he has published some optimization software. He is also interested in nutrition, food equity, and sustainability and is studying whether foraging wild foods could contribute meaningfully to nutrition, especially in “food deserts.”