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Albert Gu

Assistant Professor, Machine Learning Department; leads the Goomba Lab, Carnegie Mellon University

Albert Gu is an Assistant Professor in the Machine Learning Department at Carnegie Mellon University, where Albert Gu leads the Goomba Lab research group, and the Chief Scientist and a co-founder of Cartesia. Albert Gu is first author of the S4 paper on structured state space models and, with Tri Dao, co-first author of the Mamba and Mamba-2 papers. The Apache-2.0 Mamba repository, whose AUTHORS file lists Albert Gu, provides the official implementation.12345678

At a glance

Current roles
Assistant Professor, Machine Learning Department; leads the Goomba Lab +1 more
Sector
University
Education
Carnegie Mellon, Stanford
Work listed
2
Sources cited
13
Profile reviewed

Research

Albert Gu's research centres on state space models for long sequences. With Tri Dao, Christopher Ré and others, Gu was first author of HiPPO (2020), a framework for recurrent memory based on optimal polynomial projections, and of the 2021 paper on linear state-space layers that unify recurrent, convolutional and continuous-time models.910

Gu's S4 paper (2021) made structured state space models efficient for long-range sequence tasks. Gu and Tri Dao were then co-first authors of Mamba (2023), which adds input-dependent selection to state space models, and of Mamba-2 (2024), which connects state space models and attention through structured state space duality.4567

Gu is the last-listed author of the 2025 paper on dynamic chunking for end-to-end hierarchical sequence modeling, the basis of the H-Net architecture, and of the March 2026 Mamba-3 paper, whose author list also includes Tri Dao.111213

Teaching and lab

At Carnegie Mellon, Gu leads the Goomba Lab, a research group in the Machine Learning Department with PhD and master's students. The lab's blog publishes explanatory posts alongside its papers, including two-part series on Mamba-3 and on the Raven architecture in 2026.213

Cartesia

Gu is a co-founder of Cartesia and serves as its Chief Scientist, alongside the faculty appointment at Carnegie Mellon.31

Work and contributions

  • Mamba and Mamba-2 Open-source code

    Co-first author with Tri Dao of the Mamba (2023) and Mamba-2 (2024) papers, and listed in the AUTHORS file of the Apache-2.0 repository that provides the official implementation.5678

  • S4 (structured state space models) Published research

    First author, with Karan Goel and Christopher Ré, of the paper Efficiently Modeling Long Sequences with Structured State Spaces.4

Timeline

  1. Released HiPPO, a framework for recurrent memory with optimal polynomial projections, as first author.9
  2. Released the linear state-space layers paper as first author.10
  3. Released the S4 paper on structured state space models as first author.4
  4. Released Mamba with Tri Dao as co-first authors.57
  5. Released Mamba-2 and the structured state space duality framework with Tri Dao.6
  6. Co-authored the dynamic chunking paper behind the H-Net hierarchical architecture.11
  7. Co-authored the Mamba-3 paper on improved sequence modeling with state space principles.12

Where they work

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References

13 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. albertfgu (Albert Gu) on GitHubGitHub · Official page · accessed Oct 21, 2026
  2. Goomba Lab — peopleGoomba AI Lab, Carnegie Mellon University · Official page · accessed Oct 21, 2026
  3. Cartesia — company (team)Cartesia · Official page · accessed Oct 21, 2026
  4. Efficiently Modeling Long Sequences with Structured State Spaces (arXiv 2111.00396)arXiv · Paper · published Oct 31, 2021 · accessed Oct 21, 2026
  5. Mamba: Linear-Time Sequence Modeling with Selective State Spaces (arXiv 2312.00752)arXiv · Paper · published Dec 1, 2023 · accessed Oct 21, 2026
  6. Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv 2405.21060)arXiv · Paper · published May 31, 2024 · accessed Oct 21, 2026
  7. state-spaces/mamba README and license (Apache-2.0)state-spaces (GitHub repository) · Repository · accessed Oct 21, 2026
  8. state-spaces/mamba AUTHORSstate-spaces (GitHub repository) · Repository · accessed Oct 21, 2026
  9. HiPPO: Recurrent Memory with Optimal Polynomial Projections (arXiv 2008.07669)arXiv · Paper · published Aug 17, 2020 · accessed Oct 21, 2026
  10. Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers (arXiv 2110.13985)arXiv · Paper · published Oct 26, 2021 · accessed Oct 21, 2026
  11. Dynamic Chunking for End-to-End Hierarchical Sequence Modeling (arXiv 2507.07955)arXiv · Paper · published Jul 10, 2025 · accessed Oct 21, 2026
  12. Mamba-3: Improved Sequence Modeling using State Space Principles (arXiv 2603.15569)arXiv · Paper · published Mar 16, 2026 · accessed Oct 21, 2026
  13. Goomba Lab — blogGoomba AI Lab, Carnegie Mellon University · Official page · accessed Oct 21, 2026