NYU CDS

NYU Center for Data Science (CDS) is New York University's flagship data science and AI research center, the academic home of Yann LeCun (Meta Chief AI Scientist Emeritus and 2018 Turing Award co-recipient), with substantial AI research output across foundational ML, NLP, and applied AI.
NYU CDS

NYU CDS

The NYU Center for Data Science (CDS) is New York University's flagship data science and artificial intelligence research center, founded in 2013 and headquartered in Manhattan. The center is the academic home of Yann LeCun, the NYU Silver Professor and 2018 Turing Award co-recipient (with Geoffrey Hinton and Yoshua Bengio) whose foundational deep-learning research at NYU and Bell Labs established the convolutional-neural-network architecture that underpins substantial commercial computer-vision and adjacent foundation-model research. CDS operates research across foundational machine learning, deep learning, NLP, computer vision, AI safety, and applied AI, with substantive academic-publication output and substantive cooperation across NYU's broader academic departments. As of April 2026, NYU CDS is one of the principal academic AI research centers in the New York metropolitan area, with the LeCun research lineage and substantive faculty-research credibility anchoring the center's research-program positioning.

At a glance

  • Founded: 2013 in New York City. Located in NYU's Manhattan campus at 60 Fifth Avenue.
  • Status: Research and academic center within New York University.
  • Funding: NYU operating budget, external research grants from NSF, DARPA, NIH, and adjacent US federal research agencies, philanthropic donations, and adjacent academic-research funding.
  • CEO / Lead: Mehryar Mohri, Center Director. NYU Silver Professor of Computer Science and Mathematics.
  • Other notable leadership: Yann LeCun, Silver Professor and Founding Director (now Founding Director Emeritus). Senior faculty across the data-science and AI research-program areas.
  • Open weights: Yes, partial. Selected research outputs released open-source through GitHub.
  • Flagship outputs: Active publication record at NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, and other major AI venues; substantive faculty-research output across foundational ML, NLP, computer vision, and adjacent research areas; the LeCun research lineage and the broader NYU AI research-talent contribution to global academic and industry AI organizations.

Origins

NYU CDS was founded in 2013 with substantive academic-research credibility anchored on the recruitment of Yann LeCun as the Founding Director and the Silver Professor at NYU. LeCun, the French-American computer scientist whose Bell Labs and NYU research on convolutional neural networks established the principal architecture for modern computer-vision systems and adjacent deep-learning applications, had been a senior figure in the broader academic-AI research community for multiple decades by the time of the CDS founding.

The 2013 to 2018 founding period built substantive research-program infrastructure across the data-science and AI research areas. LeCun's December 2013 appointment as Director of Meta AI / FAIR (then Facebook AI Research) created a structurally distinctive parallel academic-and-industry research positioning, with LeCun maintaining the NYU Silver Professor role alongside the Meta research-leadership position. The 2018 Turing Award co-recognition (with Geoffrey Hinton and Yoshua Bengio) anchored substantive global recognition of the deep-learning research lineage.

The 2018 to 2024 period saw continued NYU CDS research-program output alongside continued LeCun positioning across NYU and Meta AI / FAIR. The November 2025 announcement of LeCun's departure from Meta to found AMI (the Advanced Machine Intelligence startup) reframed LeCun's primary commercial-research positioning, with the NYU Silver Professor role continuing.

The 2024 to 2026 period has continued NYU CDS research-program output across foundational ML, NLP, computer vision, and adjacent research areas, with substantive faculty-research credibility anchoring the center's research positioning.

Mission and strategy

NYU CDS's stated mission is to advance the foundations and applications of data science and artificial intelligence, with the substantive faculty-research output as the principal research-credibility positioning. The strategy combines three threads. First, foundational data-science and AI research across machine learning, deep learning, NLP, computer vision, and adjacent research areas. Second, cross-disciplinary research-cooperation across NYU's broader academic departments including the Courant Institute of Mathematical Sciences, the NYU School of Medicine, the NYU Stern School of Business, and other NYU academic units. Third, the academic-research-talent pipeline through the data-science PhD program and adjacent NYU graduate-program engagement.

The competitive premise is that the substantive NYU faculty-research credibility, anchored by the LeCun research lineage, produces structural academic-research-talent recruiting and research-output advantages relative to peer New York metropolitan-area academic AI research organizations.

Models and products

  • Active academic-publication program. Research publications at NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, and other major AI venues.
  • Cross-disciplinary research-cooperation across NYU. Research-collaboration relationships with the Courant Institute of Mathematical Sciences, the NYU School of Medicine, the NYU Stern School of Business, and other NYU academic units.
  • Data-science PhD program. Graduate-program engagement that anchors the academic-research-talent pipeline.
  • Selected open-source contributions. Through the NYU CDS GitHub organization and faculty-research GitHub organizations.

Distribution channels include academic-publication, cross-disciplinary research-cooperation, and the academic-research-talent pipeline.

Benchmarks and standing

NYU CDS's evaluation framework focuses on academic publication metrics, faculty-research credibility, and the academic-research-talent pipeline that the center's data-science PhD program supports.

Industry coverage has consistently characterized NYU CDS as one of the principal academic AI research centers in the New York metropolitan area, alongside Columbia University and Cornell Tech, with the LeCun research lineage and the substantive NYU faculty-research credibility as principal validating data points.

Leadership

As of April 2026, NYU CDS's leadership includes:

  • Mehryar Mohri, Center Director. NYU Silver Professor of Computer Science and Mathematics.
  • Yann LeCun, Silver Professor and Founding Director Emeritus.
  • Senior faculty across the data-science and AI research-program areas.

Funding and backers

NYU operating budget, external research grants from NSF, DARPA, NIH, and adjacent US federal research agencies, philanthropic donations, and adjacent academic-research funding.

Industry position

NYU CDS occupies a distinctive position as one of the principal academic AI research centers in the New York metropolitan area, with the LeCun research lineage, the substantive NYU faculty-research credibility, and the cross-disciplinary research-cooperation across NYU's broader academic departments. Industry coverage has consistently characterized NYU CDS as one of the structurally consequential US academic AI research centers.

Competitive landscape

Outlook

  • The continued cross-disciplinary research-cooperation across NYU departments through 2026 to 2027.
  • The continued data-science PhD program and academic-research-talent pipeline.
  • The continued academic-publication output at major AI venues.
  • The continued LeCun research-positioning under the post-Meta departure context with the AMI commercial-research engagement and the NYU Silver Professor role.

Sources

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