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.
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Andlinger Center conference unpacks AI’s double-edged role in the clean energy transition

More checks make AI fairer
Faculty
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
Peter Henderson
Computer Science
Niraj Jha
Electrical and Computer Engineering
Chi Jin
Electrical and Computer Engineering
Egemen Kolemen
Mechanical and Aerospace Engineering
Aleksandra Korolova
Computer Science
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
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
