Center for Statistics and Machine Learning

 

 

Featured News

Videos: DataX Data Scientists Discuss their Role and Impact in Research
May 13, 2022

Data scientists Brain Arnold and Jose Garrido Torres, supported by the Schmidt DataX Initiative, are featured in a new series of videos talking about their role and impact in research with Princeton University scholars.

Featured Event

Synthetic Control Methods
Thu, Jun 2, 2022

Synthetic controls are widely applied to estimate the effects of policy interventions and other treatments of interests. The DataX Workshop on synthetic control methods seeks to provide an introduction to synthetic control methods for non-experts as well as an opportunity for researchers working on synthetic control methods to communicate new…

Open Positions

Data Scientist Positions Available at Princeton
June 12, 2020

Do you have a strong background in scientific programming, academic research, and are eager to contribute to groundbreaking research? Do you love to write code and analyze data? Then please consider joining our growing team of data scientists! 

Princeton University is building a community of data scientists to work in partnership…


 

Latest News

Videos: DataX Data Scientists Discuss their Role and Impact in Research

Data scientists Brain Arnold and Jose Garrido Torres, supported by the Schmidt DataX Initiative, are featured in a new series of videos talking about their role and impact in research with Princeton University scholars.

Olga Russakovsky, Peter Ramadge, Chi Jin, Bartolomeo Stellato receive innovation funds

Olga Russakovsky's project is “Toward complete interpretability of computer vision models." Chi Jin's project is “Demystifying partial observability in reinforcement learning" and Bartolomeo Stellato's project is “Learning task-specific optimizers for real-time autonomous systems.” All three are CSML-affiliated faculty. Peter Ramadge, the director of CSML, received funds for his project “Using machine learning to model and analyze human language and communication." More details in the article.

CSML Alumni Profile: Eugene Tang wields data science, from financial markets to New Yorker cartoons

On the CSML undergraduate certificate, Eugene Tang said the curriculum gave him a solid foundation to learn more complex topics. “The field of machine learning has been changing so rapidly. What was the state-of-the-art when I was in college is no longer the case. And with the certificate curriculum laying an excellent foundation, that's helped me quickly pick up the new stuff,” he said.

Princeton to host workshop for US Research Software Engineer Association

The US Research Software Engineer Association (US-RSE) is set to hold its first face-to-face workshop on April 26th and 27th. Held at Princeton University and sponsored by the Alfred P. Sloan Foundation, the US-RSE Community Building Workshop will bring together research software engineers from universities, industry, and research laboratories across the country, plus a few more from abroad, to chart a path forward for the swiftly expanding group. 

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

Synthetic Control Methods
Thu, Jun 2, 2022

Synthetic controls are widely applied to estimate the effects of policy interventions and other treatments of interests. The DataX Workshop on synthetic control methods seeks to provide an introduction to synthetic control methods for non-experts as well as an opportunity for researchers working on synthetic control methods to communicate new…

Princeton Machine Learning Theory Summer School 2022
Mon, Jun 13, 2022, 8:00 am

The school will run in person June 13 to June 17, 2022 and is aimed at PhD students interested in machine learning theory. The primary goal is to showcase, through four main courses, a range of exciting recent developments in the subject. The primary focus this year is on theoretical advances in deep learning. An…