About

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, 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.


Wednesday, Jan 25, 2017
Please join us on Monday. February 20, 2017 from 12:00pm-1:00pm, for our first SML Lunch & Learn. Please note: 26 Prospect Avenue is the former home of the Bendheim Center for Finance.
Tuesday, Jan 10, 2017
CSML is now located at 26 Prospect Ave. (Bendheim Center for Finance).  Please stop by and say hello!    
Monday, Nov 21, 2016
  The premise of Princeton University sociologist Matthew Salganik's forthcoming book, "Bit by Bit: Social Science in the Digital Age," is that technological innovation creates new opportunities for social science researchers.
Monday, Sep 26, 2016
The Center for Statistics and Machine Learning is excited to offer a new funding opportunity for one or more of our certificate students to be able to participate in a scholarly event this academic year.  CSML's Undergraduate Certificate Scholarly Travel Fund will provide a grant(s) to a currently enrolled SML UG Certificate Progra

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Tue, May 16, 2017, 12:00 pm