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Alban Desmaison

Alban Desmaison is a research engineer at Meta who works on PyTorch, a deep-learning framework. He co-authored research on adaptive neural compilation in 2016 and the 2019 paper describing PyTorch's imperative, Pythonic design. After studying engineering and doing a PhD in machine learning and optimization, he maintained PyTorch's core features, joined its Core Maintainers in 2024, and served as a PyTorch Conference program chair in 2025. As of October 2026, he is PyTorch's Lead Core Maintainer.

Now at
Meta
Works
25

Publication numbers from OpenAlex, as of 15 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2016

    Adaptive neural compilation

    In 2016, he coauthors Adaptive Neural Compilation, which learns efficient programs by adapting them to a target distribution of inputs.

  2. 2019

    The PyTorch research paper

    In 2019, he coauthors the PyTorch paper, which describes an imperative, Pythonic machine-learning library that stays efficient while supporting GPUs.

  3. 2021

    Facebook PyTorch engineering

    In 2021, he is a research engineer at Facebook after studying engineering and doing a PhD in machine learning and optimization. He maintains PyTorch features such as autograd, optim, and nn.

  4. 2024

    Joining PyTorch maintainers

    In 2024, he joins PyTorch’s Core Maintainers, the group with final authority over technical decisions in the pytorch/pytorch project.

  5. 2025

    A PyTorch conference chair

    In 2025, he serves as a PyTorch Conference program chair and joins a Meta-led technical deep dive on the framework. His PyTorch work spans his University of Oxford PhD and his role at Meta, where he focuses on core components and feature design.

  6. As of October 2026

    Lead core maintainer of PyTorch

    As of October 2026, he is a Research Engineer at Meta and the Lead Core Maintainer of PyTorch. In May 2026, he joins a live Q&A on the PyTorch 2.12 release, and the August 2026 conference announcement lists him for a PyTorch Updates keynote.

Sources and credits

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  1. Adaptive Neural Compilation papers.nips.cc. Checked 15 October 2026.
  2. PyTorch: An Imperative Style, High-Performance Deep Learning Library proceedings.neurips.cc. Checked 15 October 2026.
  3. Accelerating PyTorch with CUDA Graphs pytorch.org. Checked 15 October 2026.
  4. Alban Desmaison and Piotr Bialecki are now PyTorch Core Maintainers dev-discuss.pytorch.org. Checked 15 October 2026.
  5. PyTorch Conference Keynote Speakers events.linuxfoundation.org. Checked 15 October 2026.
  6. Accelerating the Future of Open Source AI: PyTorch Conference 2025 Recap pytorch.org. Checked 15 October 2026.
  7. PyTorch 2.12 Release Live Q&A pytorch.org. Checked 15 October 2026.
  8. PyTorch Conference North America Announces 2026 Keynotes pytorch.org. Checked 15 October 2026.