Independent project. Not a U.S. government website.

Support our project (opens Buy Me a Coffee)
USASI

Tri Dao

First author of FlashAttention and co-author of Mamba; Princeton professor and Together AI co-founder

Tri Dao is an Assistant Professor of Computer Science at Princeton University, where Dao leads the Dao AI Lab, and a co-founder and the Chief Scientist of Together AI; Dao's site describes research on efficient training and inference through hardware-aware algorithms. Dao is first author of the FlashAttention paper and sole author of FlashAttention-2, whose official implementation lists support for consumer GPUs such as the RTX 3090 and RTX 4090. With Albert Gu, Dao co-authored the Mamba and Mamba-2 papers, and the Mamba repository publishes pretrained checkpoints from 130M to 2.8B parameters on Hugging Face under the Apache 2.0 license.1345891012

Work

  • Mamba and Mamba-2 (external site: github.com)

    Co-author with Albert Gu of the Mamba (2023) and Mamba-2 (2024) papers, and listed in the repository's AUTHORS file. The Apache-2.0 repository publishes pretrained Mamba and Mamba-2 checkpoints from 130M to 2.8B parameters on Hugging Face, with model cards under the Apache 2.0 license, and includes a script that downloads a checkpoint from the Hub and generates text.8910111312

  • FlashAttention (external site: github.com)

    First author of the FlashAttention paper (2022) and sole author of FlashAttention-2 (2023). The BSD-3-Clause repository, whose AUTHORS file lists Dao, provides the official implementation; its README lists support for Ampere, Ada, and Hopper GPUs including the RTX 3090 and RTX 4090, and a ROCm version for AMD GPUs.34567

This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.

Sources · reviewed Oct 2, 2026

  1. 1.
    Tri Dao — homepage (external site: tridao.me)

    Tri Dao · Official page · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  2. 2.
    tridao (Tri Dao) on GitHub (external site: github.com)

    GitHub · Official page · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  3. 3.
    FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (arXiv 2205.14135) (external site: arxiv.org)

    arXiv · Paper · published May 27, 2022 · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  4. 4.
    FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning (arXiv 2307.08691) (external site: arxiv.org)

    arXiv · Paper · published Jul 17, 2023 · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  5. 5.
    Dao-AILab/flash-attention README (installation and GPU support) (external site: github.com)

    Dao-AILab (GitHub repository) · Repository · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  6. 6.
    Dao-AILab/flash-attention AUTHORS (external site: github.com)

    Dao-AILab (GitHub repository) · Repository · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  7. 7.
    Dao-AILab/flash-attention LICENSE (BSD 3-Clause) (external site: github.com)

    Dao-AILab (GitHub repository) · License · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  8. 8.
    Mamba: Linear-Time Sequence Modeling with Selective State Spaces (arXiv 2312.00752) (external site: arxiv.org)

    arXiv · Paper · published Dec 1, 2023 · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  9. 9.
  10. 10.
    state-spaces/mamba README (pretrained models and inference) and license (Apache-2.0) (external site: github.com)

    state-spaces (GitHub repository) · Repository · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  11. 11.
    state-spaces/mamba AUTHORS (external site: github.com)

    state-spaces (GitHub repository) · Repository · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  12. 12.
    state-spaces/mamba-2.8b model card (license apache-2.0) (external site: huggingface.co)

    state-spaces (Hugging Face) · Model card · published Dec 3, 2023 · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  13. 13.
    state-spaces on Hugging Face (pretrained Mamba and Mamba-2 checkpoints) (external site: huggingface.co)

    state-spaces (Hugging Face) · Official page · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

Support Us

Help keep USASI useful.

Optional. No USASI account required. Payment takes place on the linked provider’s website (Buy Me a Coffee).

About supporting this project