Data Science

Research in data science at Princeton integrates three strengths: the fundamental mathematics of machine learning and artificial intelligence; the interdisciplinary application of those tools 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, job automation, and privacy.

Related Programs

  • Center for Information Technology Policy

  • Center for Digital Humanities

  • Program in Statistics and Machine Learning

  • Computer Science

  • Operations Research and Financial Engineering

  • Electrical and Computer Engineering

News

  • Three people in a room with industrial equipment. Two are looking up at machines in front of them; the other is looking at the people next to him and smiling.

    Formerly incarcerated students dive into engineering research

  • Group photo of 14 people, holding sign that says Center for Information Technology Policy.

    Summer fellowship gives students hands-on experience with public interest technology

  • Interviewer leans over to speak with two students seated at table.

    AI4All summer program featured on NBC Today show

  • Tiled array of computer generated photorealistic graphical images of 3D natural scenes.

    Engineers look to an old source to empower the future of computer vision

  • Head-and-shoulders portrait

    Tech expert Arvind Narayanan takes helm at joint technology-policy center

  • Foam board with a pinned grasshopper specimen, with wings extended, and four rows with different colors and shapes of synthetic wings under investigation for flying robots.

    Innovation funds support research in robotics, machine learning, climate resilience and more

Events

  • October 03

    12:30 pm

    CITP Seminar: Surya Mattu – Breaking The Black Box: How CITP’s Digital Witness Lab Uses Data-Driven Investigations to Expose Surveillance and Misinformation

  • October 10

    12:30 pm

    CITP Seminar: Dan Calacci – Why Data Rights Should be Labor Rights: Data Protection and AI Regulation for Gig Workers and Beyond

  • October 10

    12:30 pm

    Lattice-based Cryptography and the Learning with Errors Problem

  • October 25

    4:30 pm

    LLM Forum: A Conversation with Meredith Whittaker

  • October 31

    12:30 pm

    CITP Seminar: Chatbots for Good and Evil

  • November 07

    12:30 pm

    CITP Seminar: Producing More While Knowing Less: The Epistemic Risks of AI

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 portrait

    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

  • 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

    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

  • 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

  • Ellen Zhong

    Computer Science