Center for Statistics and Machine Learning

Featured News

Can language models read the genome? This one decoded mRNA to make better vaccines.
April 10, 2024

Princeton University researchers led by machine learning expert Mengdi Wang are using language models to home in on partial genome sequences and optimize those sequences to study biology and improve medicine. 

Next Event

Capitalizing on Generative AI: Guided Diffusion Models Towards Generative Optimization
Tue, Apr 23, 2024, 12:15 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Abstract: Diffusion models represent a significant breakthrough in generative AI, operating by progressively transforming random noise distributions into structured outputs, with adaptability for specific tasks through guidance or fine…

Open Positions

Postdoctoral Research Associate
Nov. 15, 2023

The Princeton Center for Statistics and Machine Learning (CSML) invites applications for DataX Postdoctoral Fellowships.

The DataX Postdoctoral Fellowships are intended for early-career scientists with a research interest in data science, statistics, and machine learning. As an associate, you will join the research group of a current…


Latest News

Software engineers optimize code to accelerate machine learning research at Princeton

Across the Princeton campus, a diffuse group of research software engineers are tackling the challenge of making research code reproducible and sustainable head-on. Stationed across departments, the RSEs — as they’re referred to in shorthand — work to support computational research projects run by faculty.

AI at Princeton: Pushing limits, accelerating discovery and serving humanity

The University is pushing limits, accelerating discovery and serving humanity. Nimble teams and muscular resources keep us at the forefront.

As the space between robots and humans blurs, how do we keep the interactions safe?

The AI boom brings with it opportunities for great benefits — but risks for individual and societal harm are inevitable as well. In a seminar hosted by the Center for Statistics and Machine Learning, Assistant Professor Jaime Fernández Fisac shared some of the ways he and his colleagues at the Safe Robotics Laboratory are using machine learning to work toward ensuring that humans are protected from harm when operating and co-existing with robotic systems.

Three CSML participating faculty members named Sloan Research Fellows

The Alfred P. Sloan Foundation has named Boris Hanin, Chi Jin and Aleksandra Korolova 2024 Sloan Research Fellows. The fellowships honor creative early-career researchers in the sciences and social sciences.

Upcoming Events

Joint PICSciE & CSML Graduate Certificate Colloquium
Wed, Apr 24, 2024, 1:00 pm

Graduate students completing certificates in Computational Science & Engineering and Statistics & Machine Learning will give seminars on their dissertation research. Each seminar will be approximately 20 minutes including time for questions from the audience. The event is open to the campus community. 

Convocation Room, 113 Friend Center, Olden Street
CSML Machine Learning Lunchtime Seminar Series
Tue, May 7, 2024, 12:15 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Contributions to and/or sponsorship of any event does not constitute departmental or institutional endorsement of the specific program, speakers or views presented.

Bendheim House 103