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. 

Software engineers optimize code to accelerate machine learning research at Princeton
March 29, 2024
Author
Written by Allison Gasparini

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
March 19, 2024
Author
Written by Liz Fuller-Wright, Office of Communications

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?
March 11, 2024
Author
Written by Allison Gasparini

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
Feb. 22, 2024

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.

Across campus, Princeton researchers use machine learning to aid discovery
Feb. 12, 2024
Author
Written by Allison Gasparini

How does a researcher make sense of the data they collect over the course of what might be years of conducting experiments? The Center for Statistics and Machine Learning hosted a workshop exploring the ways in which machine learning can enhance research efforts across campus.

AI Hope Versus Hype
Jan. 25, 2024

If you’re starting to deploy artificial intelligence in your everyday life, how can you be sure that the tools you’re using are trustworthy? As the reach of AI extends deeper into our daily routines, Princeton’s in-house AI expert Arvind Narayanan aims to help the public disentangle fact from fiction.

DataX – Julian Gold: making the leap from pure mathematics to computational biology
Jan. 5, 2024

Julian Gold had spent most of his academic research career in the world of pure mathematics. Now, Gold is a data scientist at Princeton University, where he is applying his background in pure mathematics and probability to computational biology and bioinformatics – fields that use computational methods to analyze enormous and complex data sets. Through Princeton's Schmidt DataX Initiative, he is part of a team developing tools for understanding growing tissue.

Governor Murphy and Princeton announce plans to establish an artificial intelligence hub in New Jersey
Dec. 21, 2023

New Jersey Gov. Phil Murphy joined University President Christopher L. Eisgruber on Monday to announce plans to create an artificial intelligence innovation hub for the state, in collaboration with the New Jersey Economic Development Authority.

CSML Minor Program
May 26, 2023

CSML leadership is pleased to announce the very popular certificate program in statistics and machine learning has been converted to a Princeton University minor. The change is effective for the Fall 2023 semester. More details to come.

For program requirements, please contact Susan Johansen…