Statistics and Big Data at Google
Google lives on data. Search, Ads, YouTube, Maps, ... - they all live on data. I'll tell stories about how we use data, how we're always experimenting to make improvements (yes, this includes your searches), and how we adapt statistical ideas to do things that have never been done before.
Dr. Tim Hesterberg is a Senior Statistician at Google. That means old. Before that he attempted jobs at an electric utility, in academia, and in software. At least he can drive a forklift. He received his Ph.D. in Statistics from Stanford University, where he played a lot of volleyball, got his B.A. in Math from St. Olaf College, where he proved he can't sing, and claims he studied two years in Germany, but has nothing to show for it.
He wrote Mathematical Statistics with Resampling and R, Wiley (2011) with Laura Chihara of Carleton College, and got her to do most of the work. He exploited two college students and a high school teacher to write book chapters for teaching intro stats using resampling, then added David Moore as a co-author so people would think it was worth reading. He can't seem to stick to one thing; he's also written about streams and earthquakes, electric demand forecasting, web traffic, clinical trials, display ads, computer vision, and spiders walking around spaceships.
He's a high muckety-muck for the National Institute of Statistical Sciences and the Interface Foundation (Interface between Statistical Sciences and Computing). He helped write the ASA Guidelines for Undergraduate Statistics Programs, so he could tell teachers how to teach.
He runs or bikes to work. When he drives the accident rate in Seattle skyrockets. He broke his toe at a Math contest.
He is a tree hugger, teaches kids to shoot rockets, make kerosene torches and set rafts on fire, and has herded cats - I mean chaperoned high school students - to set up computer labs in Guatemala, Ecuador, and Costa Rica with Technology Services Corps. His home page is http://www.timhesterberg.net.