Center for Statistics and Machine Learning
The Center for Statistics and Machine Learning is located at 26 Prospect Avenue.
Vineet Bansal (left), senior research software engineer and CSML staffer, collaborates with researchers on software engineering projects. Here he assists (L to R) Amit Singer - professor in mathematics and applied and computational mathematics, and Junchao Xia, research software engineer. Read more about Bansal's work here.
Daisy Yan Huang, a lecturer at the Center for Statistics and Machine Learning, teaches foundational and advanced courses to undergrads. In her mission as a teacher, she encourages women and non-STEM majors in her classes to get interested in data science. Read more here.
Peter Melchior, newest CSML faculty, uses machine learning to understand the cosmos. Melchior is also jointly appointed to the Dept. of Astrophysical Sciences. Read more here.
Students engaged in a wide array research for the SML certificate from analyzing fairness in algorithms to analyzing data on lottery play. Read about their research here.
Featured News
Wednesday, Aug 5, 2020
Olga Russakovsky, assistant professor of computer science and participating faculty member of the Center for Statistics and Machine Learning (CSML),...
Featured Event
A Few Thoughts on Deep Network Approximation
Wed, Aug 12, 2020, 12:00 pm
Location:
https://www.oneworldml.org/upcoming-events
Speaker(s):
Haizhao Yang
Open Positions
Do you have a strong background in scientific programming, academic research, and are eager to contribute to groundbreaking research? Do you love...
Latest News
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Olga Russakovsky, assistant professor of computer science and participating faculty member of the Center for Statistics and Machine Learning (CSML),...
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Why do people buy lottery tickets? Florence Wang ’21 set out to answer this seemingly simple question in her independent project for the Center for...
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As the name suggests, automatic control concerns the control of dynamic continuously operating systems such as the cruise control
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Student course assignments in Princeton data science classes are helping improve data science education worldwide.
Princeton University is actively monitoring the situation around coronavirus (COVID-19) and the evolving guidance from government and health authorities. The latest guidance for Princeton members and visitors is available on the University’s Emergency Management website.
Upcoming Events
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A Few Thoughts on Deep Network Approximation
Wed, Aug 12, 2020, 12:00 pmLocation: https://www.oneworldml.org/upcoming-eventsSpeaker(s):Haizhao Yang -
DataX Workshop Series: Synthetic Control Methods | Day 1 (POSTPONED UNTIL 2021)
Fri, Sep 11, 2020, 2:00 pm -
DataX Workshop Series: Synthetic Control Methods | Day 2 (POSTPONED UNTIL 2021)
Sat, Sep 12, 2020, 8:00 am
