Café Scientifique - Dr. Robert Tibshirani

*Please note that the date for this event has been moved from the third Thursday of January and is now on January 21, 2020 due to speaker availability.*

Dr. Tibshirani will discuss the hot area of supervised learning, while focussing specifically on the lasso method for obtaining sparse models. He will also describe some applications of these methods to his own collaborative work, including the prediction of platelet usage at the Stanford Hospital.

Dr. Robert Tibshirani - Robert Tibshirani is a Professor in the Departments of Statistics and Biomedical Data Sciences at Stanford University. In his work he has made important contributions to the analysis of complex datasets, most recently in genomics and proteomics. Some of his most well-known contributions are the lasso, which uses L1 penalization in regression and related problems, generalized additive models and Significance Analysis of Microarrays (SAM). He also co-authored four widely used books "Generalized Additive Models", "An Introduction to the Bootstrap", "The Elements of Statistical Learning", and "Sparsity in Statistics: the Lasso and its generalizations".

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Café Scientifique is a place where anyone can come to explore the latest ideas in science and technology. The Café provides a forum for debating science issues outside a traditional academic context. We are committed to promoting public engagement with science and to making science accountable - all spoken in plain English. There is no admission charge to attend our events.

Building on its great success outside the United States, Café Scientifique Silicon Valley is the first such Café on the West Coast. We meet monthly to discuss a variety of science topics.