AI at Princeton

Nimble, high-intensity research teams at Princeton collaborate across disciplines to accelerate discovery in artificial intelligence without the logistical barriers that have traditionally slowed universities down. Engineers, scientists, humanists and policy experts who are pre-eminent in their fields come together in a deeply interdisciplinary approach to problem solving.

Visit AI@Princeton

Man speaks near podium while pointing at a scientific graphics on a screen. — Egemen Kolemen describes how he has used artificial intelligence to increase stability in the reactions that power nuclear fusion as a source of clean electricity. (Photos by David Dooley/Fotobuddy

Initiative aims to make Princeton a leader in AI accelerated engineering

A person (face not visible) wearing a white lab coat and blue disposable gloves holds a square lab plate in their left hand. Their right hand holds a pair of tweezers which they are using to pick up one of several small green plants on the plate. — Jonathan Conway, assistant professor of chemical and biological engineering, received an innovation grant for the project “Engineering symbiotic plant-microbe interactions for sustainable agriculture.” Photo by Sameer A. Khan/Fotobuddy

Since 2008, innovation funds have fostered research in AI fairness, sustainable agriculture, drug discovery and more

Aerial view of a meandering river surrounded by forest. — Photo by iStock

Princeton hosts international conference on modeling and securing Earth’s groundwater

Four-panel composite: green crop field, copper-colored industrial pipes, biorefinery, and a tanker truck — stock.adobe.com

Charting a pathway to next-gen biofuels

Plaque that reads "junior faculty awards 2024".

Junior faculty awards recognize outstanding teaching and research

Student giving a presentation. — Russakovsky codirects an AI4ALL summer program at Princeton, where high school students learn programming and AI basics and collaborate on research projects. They present their results at the end of the three-week session. Photo by Lori Nichols

Diversifying AI through data collection and career development

Ryan P. Adams

Computer Science

Sigrid Adriaenssens

Civil and Environmental Engineering

Christine Allen-Blanchette

Mechanical and Aerospace Engineering

Sanjeev Arora

Computer Science

Danqi Chen

Computer Science

Jia Deng

Computer Science

Adji Bousso Dieng

Computer Science

Jianqing Fan

Operations Research and Financial Engineering

Adam Finkelstein

Computer Science

Jaime Fernández Fisac

Electrical and Computer Engineering

Ruth Fong

Computer Science

Michael Freedman

Computer Science

Tom Griffiths

Computer Science

Elad Hazan

Computer Science

Felix Heide

Computer Science

Portrait of Peter Henderson

Peter Henderson

Computer Science

Niraj Jha

Electrical and Computer Engineering

Chi Jin

Electrical and Computer Engineering

Portrait of Egemen Kolemen

Egemen Kolemen

Mechanical and Aerospace Engineering

Aleksandra Korolova

Computer Science

Jason D. Lee

Electrical and Computer Engineering

Kai Li

Computer Science

Anirudha Majumdar

Mechanical and Aerospace Engineering

Reed Maxwell

Civil and Environmental Engineering

Prateek Mittal

Electrical and Computer Engineering

Karthik Narasimhan

Computer Science

Arvind Narayanan

Computer Science

Ravi Netravali

Computer Science

H. Vincent Poor

Electrical and Computer Engineering

Peter Ramadge

Electrical and Computer Engineering

Vikram Ramaswamy portrait

Vikram Ramaswamy

Computer Science

Zhiyong "Jason" Ren

Civil and Environmental Engineering

Szymon Rusinkiewicz

Computer Science

Olga Russakovsky

Computer Science

Sebastian Seung

Computer Science

Mona Singh

Computer Science

Olga Troyanskaya

Computer Science