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, Feb 24, 2021
Mia Hu’s research concerns itself with a simple and yet difficult question: Are humans the only intelligent life form in the universe? Hu’s answering...
Featured Event
Preconditioning Helps: Faster Convergence in Statistical and Reinforcement Learning
Mon, Apr 19, 2021, 4:30 pm
Location:
Virtual Seminar
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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Mia Hu’s research concerns itself with a simple and yet difficult question: Are humans the only intelligent life form in the universe? Hu’s answering...
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It was a productive winter break for attendees of Princeton University’s virtual two-week computing bootcamp, which had over 300 registrants and...
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With the support of a gift from Microsoft Corporation, the Center for Statistics and Machine Learning (CSML) is pleased to announce a call for...
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In the past few years, the Doyle Lab has turned increasingly to data science techniques to assist problem-solving in organic synthesis. Researchers ...
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Upcoming Events
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Preconditioning Helps: Faster Convergence in Statistical and Reinforcement Learning
Mon, Apr 19, 2021, 4:30 pmLocation: Virtual SeminarSpeaker(s):Yuejie ChiCarnegie Mellon UniversityPreconditioning Helps: Faster Convergence in Statistical and Reinforcement Learning -
CSML Poster Session Event
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Accelerate Your Code at the Princeton GPU Hackathon, June 2, 8-10, 2021
Wed, Jun 2, 2021, 8:00 am to Thu, Jun 10, 2021, 8:00 amLocation: Virtual Seminarl
