Faculty

Jump to Name:

  • Anasse Bari

    Clinical Associate Professor of Computer Science

    Ph.D., Computer Science, George Washington University, USA, 2012

    Email: abari at cs.nyu.edu
    Office: WWH 425
    Ext: 8-3227
    Predictive Analytics, Machine Learning, Biologically Inspired Knowledge Discovery, and Data Science

  • Joan Bruna

    Associate Professor of Computer Science and Data Science

    Ph.D., Applied Mathematics, École Polytechnique, France, 2013

    Email: bruna at cs.nyu.edu
    Office: 60 Fifth Ave 612
    Ext: 8-3162
    Machine learning, high-dimensional statistics, signal processing

  • Kyunghyun Cho

    Professor of Computer Science and Data Science

    Ph.D., Computer Science, Aalto University School of Science, Finland, 2014

    Email: kyunghyun.cho at nyu.edu
    Office: 60 Fifth Ave 616
    Ext: 8-3366
    Machine learning, natural languages, machine translation, artificial intelligence

  • Sumit Chopra

    Associate Professor of Computer Science

    Ph.D., Computer Science, New York University, USA, 2008

    Email: sumit at cs.nyu.edu
    Office: 60 Fifth Ave 501
    Ext: 8-3376
    Machine Learning, Healthcare, Representation Learning, Computer Vision, Medical Imaging, Natural Language Processing

  • Rob Fergus

    Professor of Computer Science

    D. Phil., Electrical Engineering, University of Oxford, UK, 2005

    Email: fergus at cs.nyu.edu
    Office: 60 Fifth Ave 514
    Ext: 8-3353
    Computer vision and computational photography.

  • Davi Geiger

    Associate Professor of Computer Science and Neural Science

    Ph.D., Physics and Artificial Intelligence, Massachusetts Institute of Technology, USA, 1990

    Email: dg1 at nyu.edu
    Office: WWH 418
    Ext: 8-3235
    Computer Vision and Learning, with recent interest in the use of Group and Quantum methods.

  • Yann LeCun

    Silver Professor of Computer Science

    Ph.D., Computer Science, Universite Pierre et Marie Curie, France, 1987

    Email: yann at cs.nyu.edu
    Office: 60 Fifth Ave 516
    Ext: 8-3283
    Machine learning, computer vision, autonomous robotics, computational neuroscience, computational statistics, computational economics, hardware architectures for vision, digital libraries, and data compression.

  • Qi Lei

    Assistant Professor of Mathematics and Data Science

    Ph.D., Oden Institute for Computational Sciences and Engineering, UT Austin, USA, 2020

    Email: ql518 at nyu.edu

  • Mehryar Mohri

    Professor of Computer Science

    Ph.D., Computer Science, University of Paris 7, France, 1993

    Email: mohri at cs.nyu.edu
    Office: WWH 701
    Ext: 8-3200
    Machine learning, computational biology, text and speech processing, algorithms, and theory.

  • Daniel Neill

    Associate Professor of Public Service and Computer Science

    Ph.D., Computer Science, Carnegie Mellon University, USA, 2006

    Email: daniel.neill at nyu.edu
    Office: 60 Fifth Ave 304
    Ext: x8-3295
    machine learning; event and pattern detection; applications for societal good; public health, safety, and security; algorithmic fairness; urban systems

  • Benjamin Peherstorfer

    Associate Professor of Computer Science

    Ph.D., Computer Science, Technische Universität München, Germany, 2013

    Email: pehersto at cims.nyu.edu
    Office: WWH 421
    Ext: 8-3297
    Computational statistics, Bayesian inference, model reduction, high-dimensional approximation, machine learning, numerical analysis, numerical linear algebra

  • Lerrel Pinto

    Assistant Professor of Computer Science

    Ph.D., Robotics, Carnegie Mellon University, USA, 2019

    Email: lerrel at cs.nyu.edu
    Office: 60 Fifth Ave 505
    Ext: 8-3514
    Robot Learning, Robotic Manipulation, Reinforcement Learning, Machine Learning.

  • Foster Provost

    Professor of Entrepreneurship and Information Systems, Stern School of Business; Professor of Data Science

    Ph.D., Computer Science, University of Pittsburgh, USA, 1992

    Email: fprovost at stern.nyu.edu
    Office: KMEC 8-86
    Ext: 8-0806

  • Rajesh Ranganath

    Assistant Professor of Computer Science and Data Science

    Ph.D., Computer Science, Princeton University, USA, 2017

    Email: rajeshr at cs.nyu.edu
    Office: 60 Fifth Ave 503
    Ext: 8-3394
    Machine Learning, Healthcare, Probabilistic and Causal Inference.

  • Mengye Ren

    Assistant Professor of Computer Science and Data Science

    Ph.D., Computer Science, University of Toronto, Canada, 2021

    Email: mengye at cs.nyu.edu
    Office: 60 Fifth Ave 508
    Ext: 8-3369
    Machine learning, deep learning, computer vision, artificial intelligence

  • Matus Telgarsky

    Assistant Professor of Computer Science

    Ph.D., Computer Science, University of California, San Diego, USA, 2013

    Email: mjt10041 at nyu.edu
    Office: 60 Fifth Ave 310
    Deep Learning Theory, Statistical Learning Theory, Approximation, Optimization

  • Andrew Gordon Wilson

    Associate Professor of Computer Science and Data Science

    Ph.D., Machine Learning, University of Cambridge, UK, 2014

    Email: andrewgw at cims.nyu.edu
    Office: 60 Fifth Ave 604
    Ext: 8-3365
    Machine learning, Bayesian statistics, numerical linear algebra.

  • Saining Xie

    Assistant Professor of Computer Science

    Ph.D., Computer Science, University of California, San Diego, USA, 2018

    Email: saining.xie at nyu.edu
    Office: 60 Fifth Ave 518
    Ext: 8-3351
    Computer Vision, Machine Learning, Deep Learning

  • Matthew Zeidenberg

    Clinical Associate Professor of Computer Science

    Ph.D., Computer Science, University of Wisconsin-Madison, USA, 2003; Ph.D., Sociology, University of Wisconsin-Madison, USA, 2004

    Email: matthew.zeidenberg at nyu.edu
    Office: WWH 419
    Ext: 8-3002
    Machine learning, artificial intelligence, data science, graph databases, program evaluation, education, and labor markets

  • Sai Qian Zhang

    Assistant Professor of Electrical and Computer Engineering and Computer Science

    Ph.D., Computer Science, Harvard, USA, 2021

    Email: sai.zhang at nyu.edu
    Efficient deep learning, AI system design

    Note: Starting September 2024