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.


Friday, Apr 7, 2017
Princeton juniors Lamia Ateshian, Sally Jiao, Jonathan Lu and Omkar Shende have been awarded one-year Goldwater Scholarships, the premier award for outstanding undergraduates interested in careers in mathematics, the natural sciences and engineering.   
Thursday, Mar 16, 2017
SML's Program Director, Kosuke Imai featured in article "Winning 'hearts and minds' in Afghanistan carries risks for civilians " Read More: http://www.princeton.edu/main/news/archive/S48/90/79C25/
Friday, Mar 10, 2017
Can machines dream? Can they compose symphonies? Princeton Data Science (PDS) presents "Machine Learning & Art" -- no prior technical knowledge necessary. 
Tuesday, Feb 21, 2017
SML Certificate Program associated faculty, Han Liu and Amir Ali Ahmadi are two of six Princeton University faculty members named as 2017 Sloan Research Fellows. Awarded by the Alfred P. Sloan Foundation, the $60,000 fellowships recognize promising early-career scientists who have been nominated by their colleagues.

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Tue, May 16, 2017, 12:00 pm