PeopleofSuperintelligence

Researcher

Marc'Aurelio Ranzato

Also known as Marc’Aurelio Ranzato, Marc ' Aurelio Ranzato, Marc' Aurelio Ranzato

Marc'Aurelio Ranzato is an AI researcher whose work spans energy-based unsupervised learning, computer vision, machine translation and continual learning. Originally from Padova, he graduated in electronics engineering, completed a computer science PhD at NYU with Yann LeCun in 2009, and joined Geoffrey Hinton's lab as a postdoc at the University of Toronto. He joined Google Brain in 2011 and Facebook AI Research in 2013, where he coauthored work on large-scale visual features and translation from monolingual corpora. His conference service included ICLR and NeurIPS program chairs, and his 2012 visual-features paper received an ICML Test of Time honorable mention in 2022; in 2025, he coauthored Streaming DiLoCo to reduce bandwidth in distributed language-model training. Since August 2021, he has led continual learning at Google DeepMind in London and is a senior director of research there as of October 2026.

Badges

Timeline

  1. 2004–2009

    An NYU PhD and energy-based learning

    Originally from Padova, he graduates in electronics engineering and starts a computer science PhD at NYU's Courant Institute with Yann LeCun in 2004, completing it in 2009. In 2007, he coauthors A Unified Energy-Based Framework for Unsupervised Learning, which unites clustering, dimensionality reduction and feature extraction in one energy-based framework.

  2. 2009

    A postdoc in Hinton's lab

    After graduating from NYU in 2009, he joins Geoffrey Hinton's lab as a postdoc at the University of Toronto.

  3. 2011–2012

    Google Brain and ImageNet features

    He joins Google Brain in 2011 as one of its early members. In 2012, he coauthors Building high-level features using large scale unsupervised learning; the trained network reaches 15.8% accuracy across 20,000 ImageNet object categories.

  4. 2013–2018

    Facebook AI Research and translation

    He joins Facebook in 2013 as a founding member of Facebook AI Research. In 2018, he coauthors Phrase-Based & Neural Unsupervised Machine Translation, whose neural and phrase-based models use monolingual corpora and iterative back-translation.

  5. 2017–2021

    ICLR and NeurIPS conference chairs

    He serves as ICLR program chair in 2017 and 2018, NeurIPS program chair in 2020, and NeurIPS general chair in 2021.

  6. 2022

    An ICML Test of Time mention

    At ICML 2022, his 2012 paper Building high-level features using large scale unsupervised learning receives a Test of Time honorable mention.

  7. 2025

    Streaming DiLoCo

    In 2025, he coauthors Streaming DiLoCo with overlapping communication. The method synchronizes parameter subsets in sequence, reducing peak bandwidth for distributed language-model training.

  8. As of October 2026

    Senior director at Google DeepMind

    He joins Google DeepMind in London in August 2021 and leads its continual learning team. As of October 2026, he is a senior director of research there and a member of the NeurIPS Foundation Board.

Career

  1. Since 2021Google DeepMindSenior Director of Research
  2. 2013–2018FAIR (Meta)Founding Member
  3. 2011–2012Google BrainEarly Member
  4. From 2009University of TorontoPostdoc

Education

  1. 2009Courant Institute of Mathematical SciencesPhD

From the biography.

  1. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Marc'Aurelio Ranzato. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  2. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Marc'Aurelio Ranzato. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  3. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Marc'Aurelio Ranzato. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  4. 11% of AI doctorate holders from 2010 to 2016 founded or led a company or lab by 10 years after graduationIncludes Marc'Aurelio Ranzato. We estimate how often AI doctorate holders founded or led a company or lab by 10 years after graduation, how waiting times compare between founders and top jobs, and which universities trained the most.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Marc'Aurelio Ranzato's home page ranzato.github.io. Checked 21 October 2026.
  2. Computational and Biological Learning Lab, Courant Institute, NYU cs.nyu.edu. Checked 21 October 2026.
  3. A Unified Energy-Based Framework for Unsupervised Learning proceedings.mlr.press. Checked 21 October 2026.
  4. Building high-level features using large scale unsupervised learning research.google. Checked 21 October 2026.
  5. Phrase-Based & Neural Unsupervised Machine Translation - ACL Anthology aclanthology.org. Checked 21 October 2026.
  6. ICML 2022 Awards icml.cc. Checked 21 October 2026.
  7. Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch arxiv.org. Checked 21 October 2026.
  8. 2026 Board neurips.cc. Checked 21 October 2026.