Jerry Friedman has been with the Statistics Department at Stanford for nearly forty years. He is recognized as one of the world’s leading researchers in statistics and data mining, and has been called a founding father of data mining software.
“I was always interested in what Leo Breiman called large and complex data sets (now called data mining)... . I guess it’s a kind of data that I first encountered in physics, moderately high-dimensional, a fair amount of data, the number of observations usually considerably larger than the number of measured variables. I was always interested in developing general-purpose algorithms where one could pour the data in and hope to get something sensible out without a lot of labor-intensive work on the part of the data analyst.”
During his career, Jerry has added a remarkable array of landmark publications and new methodologies to data mining and machine learning, representing one of the broadest ranges of important contributions by any one person in the field. A gathering of former students, current colleagues, family and friends are delighted to present this day-long symposium in his honor.
|9:15a||Welcome – Rob Tibshirani and Trevor Hastie|
Mark Segal, UC San Francisco
David Henry, Bristol-Myers Squibb
|10:30a||Morning Coffee Break|
Jan Pedersen, Uber Technologies
Giles Hooker, Cornell University
|12:00n||Barbeque Lunch with the Statistics Department at their 2019 Spring Party|
Art Owen, Stanford University
Nick Fisher, University of Sydney
Afternoon Coffee Break
Trevor Hastie: “Jerry and airport security”
Andreas Buja, University of Pennsylvania
Werner Stuetzle, University of Washington