Natalia Gimelshein
PyTorch core maintainer for CUDA; co-author of the PyTorch and PyTorch 2 papers
- Core Maintainer, PyTorch (open-source project)1
Natalia Gimelshein is a PyTorch core maintainer and a maintainer of PyTorch's CUDA support, according to PyTorch's maintainers page, which also lists Gimelshein as an emeritus maintainer of NestedTensor and of the profiling and monitoring tools. Gimelshein co-authored the 2019 PyTorch paper, listed there with NVIDIA, and the PyTorch 2 paper (ASPLOS 2024), listed with OpenAI. At PyTorch Conference Europe 2026, Gimelshein took part in the "Meet the Developers" session for PyTorch module maintainers.1345
Work
PyTorch (CUDA)Open-source code
Listed as a PyTorch core maintainer and a CUDA maintainer; co-author of "PyTorch: An Imperative Style, High-Performance Deep Learning Library" (2019). The repository is under a BSD-style license.126
PyTorch 2: TorchDynamo and TorchInductor (torch.compile)Published research
Co-author of the ASPLOS 2024 paper introducing TorchDynamo and TorchInductor, which implement torch.compile in PyTorch 2.4
Other documented roles
Roles the sources document but that are not confirmed as current.
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