About CSML

Princeton University established the Center for Statistics and Machine Learning (CSML) in July 2014 to serve as the primary organization on campus for education and research activities in statistics, machine learning, and the data sciences.

CSML will be an interdisciplinary group with research focused around methodological challenges at the intersection of these fields. CSML will also be deeply connected to real-world application areas, such as in astrophysics, economics, engineering, 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.  Princeton has educated many highly influential leaders in statistics.

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.  

We are currently in the process of planning CSML, so please check back often for updates.

Tuesday, Feb 23, 2016
CSML associated faculty and certificate program executive committee member, Barbara Engelhardt, was one of five Princeton University faculty members named as 2016 Sloan Research Fellows. Awarded by the Alfred P. Sloan Foundation, the $55,000 fellowships recognize promising early-career scientists who have been nominated by their colleagues.
Sunday, Nov 22, 2015
Evan Soltas '16, a Statistics and Machine Learning undergraduate certificate program student, was awarded the 2015 Rhodes Scholarship.  Congratulations, Evan!
Friday, Sep 18, 2015
"I believe that the whole country -- scientifically, industrially, financially -- is better off because of John Tukey and bears evidence of his influence." -John Wheeler, Princeton professor of physics