Center for Statistics and Machine Learning, Princeton University

nnected to real-world application areas, such as in astrophysics, economics, finance, genomics, neuroscience, political science, public policy, and sociology. Princeton University has a rich and influential history in statistics and machine learning, with individuals such as Samuel Wilks, John Tukey, William Feller, Alonzo Church, Alan Turing, and John Von Neumann having played key roles in pioneering the use of statistics, probabilistic models, and computers to solve real world problems. Based on a foundation formed by Samuel Wilks, the Department of Statistics existed at Princeton University during 1965-1985, with John Tukey being its inaugural chair. CSML is excited to be reviving an official statistics organization at Princeton and to be doing so in conjunction with machine learning. We will be taking a forward-looking approach to these fields and the many exciting activities involving modern data.