David Persson
David Persson is a numerical analyst whose matrix algorithms help make deep-learning training more efficient. At EPFL, he coauthored trace-estimation variants of Hutch++ in 2021 and 2022 and completed a mathematics PhD under Daniel Kressner in June 2024. In September 2024, he joined the Flatiron Institute's Center for Computational Mathematics as a Flatiron Research Fellow and became a Courant Instructor at New York University. With collaborators, he developed The Polar Express for the Muon optimizer in May 2025, won a second prize in the IMA Leslie Fox Prize for Numerical Analysis in June 2025, and received an ICLR 2026 Outstanding Paper Honorable Mention in April 2026. As of October 2026, he is a Courant Instructor at NYU's Courant Institute of Mathematical Sciences and a Flatiron Research Fellow in the Center for Computational Mathematics.
Timeline
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2021–2022
Hutch++ trace estimation variants
In September 2021, he coauthors "Improved variants of the Hutch++ algorithm for trace estimation" with Alice Cortinovis and Daniel Kressner, revising the work in May 2022.
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June 2024
A PhD at EPFL
He completes a mathematics PhD at EPFL in June 2024 under advisor Daniel Kressner. His doctoral thesis is titled "Randomized low-rank approximation and its applications."
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September 2024
Flatiron and Courant roles
In September 2024, he joins the Flatiron Institute's Center for Computational Mathematics as a Flatiron Research Fellow. He also serves as a Courant Instructor at New York University's Courant Institute of Mathematical Sciences.
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February 2025
Block-Krylov methods for matrix functions
With Tyler Chen and Christopher Musco, he posts "Randomized block-Krylov subspace methods for low-rank approximation of matrix functions" in February 2025.
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May 2025
Polar Express for Muon
With Noah Amsel, Christopher Musco, and Robert Gower, he introduces Polar Express in May 2025, a GPU-friendly method for computing the polar decomposition with matrix-matrix multiplications. Integrated into the Muon optimizer, the method yields consistent validation-loss improvements for a GPT-2 model trained on the FineWeb dataset.
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June 2025
A Leslie Fox second prize
He wins a second prize in the IMA Leslie Fox Prize for Numerical Analysis in June 2025 at the University of Strathclyde for his work on low-rank approximations of matrix functions.
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April 2026
An ICLR honorable mention
In April 2026, ICLR gives The Polar Express an Outstanding Paper Honorable Mention. Persson coauthors the paper with Noah Amsel, Christopher Musco, and Robert M. Gower, using approximation theory to design optimal polynomial approximations for the polar decomposition used by Muon.
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As of October 2026
Courant and Flatiron research
He is a Courant Instructor at NYU's Courant Institute of Mathematical Sciences and a Flatiron Research Fellow in the Center for Computational Mathematics. In August 2026, he works with Robert Gower and Noah Amsel to find optimal polynomial coefficients that update at every iteration and become a core component of the Muon optimizer.
Career
- Since 2024Simons FoundationFlatiron Research Fellow
- NowCourant Institute of Mathematical SciencesCourant Instructor
Education
- 2024EPFLPhD
Sources and credits
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- Improved variants of the Hutch++ algorithm for trace estimation
- David Persson | Courant Instructor at NYU Courant & Flatiron Research Fellow
- Randomized low-rank approximation and its applications - EPFL
- David Persson
- Randomized block-Krylov subspace methods for low-rank approximation of matrix functions
- The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm
- IMA Leslie Fox Prize for Numerical Analysis
- Announcing the ICLR 2026 Outstanding Papers
- Noah Amsel, Professor David Persson, and Professor Christopher Musco Receive ICLR 2026 Outstanding Paper Honorable Mention
- How Flatiron Institute Mathematicians Helped Make AI More Efficient
