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
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Junior faculty awards recognize excellence in research and teaching
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Using the tools of computer science to improve health care
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Seven engineering faculty members receive NSF CAREER awards
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Teaching robots to think on the fly
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Tech leaders convene to discuss the future of wireless communication
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Lila Rodgers wins Jacobus Fellowship, Princeton’s top graduate student honor
Faculty
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Ryan P. Adams
Computer Science
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Amir Ali Ahmadi
Operations Research and Financial Engineering
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Christine Allen-Blanchette
Mechanical and Aerospace Engineering
Center for Statistics and Machine Learning
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Sanjeev Arora
Computer Science
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Ryne Beeson
Mechanical and Aerospace Engineering
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Mark Braverman
Computer Science
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Matias D. Cattaneo
Operations Research and Financial Engineering
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Danqi Chen
Computer Science
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Daniel J. Cohen
Mechanical and Aerospace Engineering
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Pablo Debenedetti
Chemical and Biological Engineering
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Jia Deng
Computer Science
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Adji Bousso Dieng
Computer Science
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Jianqing Fan
Operations Research and Financial Engineering
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Adam Finkelstein
Computer Science
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Jaime Fernández Fisac
Electrical and Computer Engineering
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Robert Fish
Computer Science
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Ruth Fong
Computer Science
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Michael Freedman
Computer Science
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Aarti Gupta
Computer Science
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Jürgen Hackl
Civil and Environmental Engineering
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Kelsey Hatzell
Mechanical and Aerospace Engineering
Andlinger Center for Energy and the Environment
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Elad Hazan
Computer Science
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Andrew Houck
Electrical and Computer Engineering
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Niraj Jha
Electrical and Computer Engineering
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Jerelle Joseph
Chemical and Biological Engineering
Bioengineering Initiative
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Gillat Kol
Computer Science
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Aleksandra Korolova
Computer Science
Princeton School of Public and International Affairs
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Sanjeev Kulkarni
Electrical and Computer Engineering
Operations Research and Financial Engineering
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Ruby Lee
Electrical and Computer Engineering
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Xiaoyan Li
Computer Science
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Christos Maravelias
Chemical and Biological Engineering
Andlinger Center for Energy and the Environment
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Jonathan Mayer
Computer Science
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Forrest Meggers
Andlinger Center for Energy and the Environment
Architecture
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Prateek Mittal
Electrical and Computer Engineering
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Karthik Narasimhan
Computer Science
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Arvind Narayanan
Computer Science
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Ravi Netravali
Computer Science
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Sheila Pontis
Keller Center for Innovation in Engineering Education
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H. Vincent Poor
Electrical and Computer Engineering
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Yuri Pritykin
Computer Science
Lewis-Sigler Institute for Integrative Genomics
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Miklos Racz
Operations Research and Financial Engineering
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Peter Ramadge
Electrical and Computer Engineering
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Anu Ramaswami
Civil and Environmental Engineering
High Meadows Environmental Institute
Princeton Institute for International and Regional Studies (PIIRS)
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Ben Raphael
Computer Science
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Szymon Rusinkiewicz
Computer Science
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Sebastian Seung
Computer Science
Princeton Neuroscience Institute (PNI)
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Mona Singh
Computer Science
Lewis-Sigler Institute for Integrative Genomics
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Bartolomeo Stellato
Operations Research and Financial Engineering
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Olga Troyanskaya
Computer Science
Lewis-Sigler Institute for Integrative Genomics
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Pramod Viswanath
Electrical and Computer Engineering
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Mengdi Wang
Electrical and Computer Engineering
Center for Statistics and Machine Learning
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Huacheng Yu
Computer Science
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Huacheng Yu
Computer Science
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Ellen Zhong
Computer Science