Baldi was cited for contributions to artificial intelligence and statistical machine learning with applications to the life sciences, for excellence in teaching, for academic and professional service, and for book writing.
Chris Fraley has been named senior scientist at Seattle-based bioinformatics software firm Insilicos. Fraley, whose expertise is in statistical computing and data mining, will be leading a project to develop predictive models of disease based on least angle regression-related techniques, a class of statistical methods to help make and accelerate predictions from high-dimensional data.
Least-angle regression is a variable-selection technique for linear models of which there are three variants: least-angle regression, or LAR, L1 penalty or LASSO, and forward stagewise, which are collectively called LARS.
Fraley received her PhD from Stanford University in computer science and has an ongoing appointment as senior research scientist at the University of Washington’s Department of Statistics.
Her background includes development and implementation of a range of statistical techniques at Insightful and Statistical Sciences.