Research in data science at Princeton integrates three strengths: the fundamental mathematics of machine learning; the interdisciplinary application of machine learning to solve a wide range of real-world problems; and deep examination and innovation regarding the societal implications of artificial intelligence, including issues such as bias, equity, and privacy.
News
-
Tech leaders convene to discuss the future of wireless communication
-
Lila Rodgers wins Jacobus Fellowship, Princeton’s top graduate student honor
-
Faculty research tackles challenges in quantum computing
-
Jennifer Rexford named Princeton’s next provost
-
Researchers discover differing immune response leads to worse COVID outcomes for men
-
Center for Information Technology Policy gives students up-close government experiences
Faculty
-
Ryan P. Adams
Computer Science
-
Amir Ali Ahmadi
Operations Research and Financial Engineering
-
Christine Allen-Blanchette
Mechanical and Aerospace Engineering
Center for Statistics and Machine Learning
-
Sanjeev Arora
Computer Science
-
Ryne Beeson
Mechanical and Aerospace Engineering
-
Mark Braverman
Computer Science
-
Matias D. Cattaneo
Operations Research and Financial Engineering
-
Danqi Chen
Computer Science
-
Daniel J. Cohen
Mechanical and Aerospace Engineering
-
Pablo Debenedetti
Chemical and Biological Engineering
-
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
-
Robert Fish
Computer Science
-
Ruth Fong
Computer Science
-
Michael Freedman
Computer Science
-
Aarti Gupta
Computer Science
-
Jürgen Hackl
Civil and Environmental Engineering
-
Kelsey Hatzell
Mechanical and Aerospace Engineering
Andlinger Center for Energy and the Environment
-
Elad Hazan
Computer Science
-
Andrew Houck
Electrical and Computer Engineering
-
Niraj Jha
Electrical and Computer Engineering
-
Jerelle Joseph
Chemical and Biological Engineering
Bioengineering Initiative
-
Gillat Kol
Computer Science
-
Aleksandra Korolova
Computer Science
Princeton School of Public and International Affairs
-
Sanjeev Kulkarni
Electrical and Computer Engineering
Operations Research and Financial Engineering
-
Ruby Lee
Electrical and Computer Engineering
-
Xiaoyan Li
Computer Science
-
Christos Maravelias
Chemical and Biological Engineering
Andlinger Center for Energy and the Environment
-
Jonathan Mayer
Computer Science
-
Forrest Meggers
Andlinger Center for Energy and the Environment
Architecture
-
Prateek Mittal
Electrical and Computer Engineering
-
Karthik Narasimhan
Computer Science
-
Arvind Narayanan
Computer Science
-
Ravi Netravali
Computer Science
-
Sheila Pontis
Keller Center for Innovation in Engineering Education
-
H. Vincent Poor
Electrical and Computer Engineering
-
Yuri Pritykin
Computer Science
Lewis-Sigler Institute for Integrative Genomics
-
Miklos Racz
Operations Research and Financial Engineering
-
Peter Ramadge
Electrical and Computer Engineering
-
Anu Ramaswami
Civil and Environmental Engineering
High Meadows Environmental Institute
Princeton Institute for International and Regional Studies (PIIRS)
-
Ben Raphael
Computer Science
-
Szymon Rusinkiewicz
Computer Science
-
Sebastian Seung
Computer Science
Princeton Neuroscience Institute (PNI)
-
Mona Singh
Computer Science
Lewis-Sigler Institute for Integrative Genomics
-
Bartolomeo Stellato
Operations Research and Financial Engineering
-
Olga Troyanskaya
Computer Science
Lewis-Sigler Institute for Integrative Genomics
-
Pramod Viswanath
Electrical and Computer Engineering
-
Mengdi Wang
Electrical and Computer Engineering
Center for Statistics and Machine Learning
-
Huacheng Yu
Computer Science
-
Huacheng Yu
Computer Science
-
Ellen Zhong
Computer Science