Taejun Park
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Taejun Park

Postdoctoral Researcher
École Polytechnique Fédérale de Lausanne (EPFL)

About

I am a postdoctoral researcher in the High Performance Numerical Algorithms and Simulations (HPNALGS) group at EPFL, working with Prof. Laura Grigori.

I received my DPhil in Mathematics from the University of Oxford in 2025, where I was a member of the Numerical Analysis group and was supervised by Prof. Yuji Nakatsukasa.

Research Interests

My research is in numerical linear algebra, with particular interests in

  • randomized algorithms for matrix computations,
  • matrix perturbation theory,
  • low-rank approximation.

My work focuses on developing fast, accurate, and reliable algorithms for large-scale matrix computations.

Selected Papers

Approximating Sparse Matrices and their Functions using Matrix-vector Products
with Y. Nakatsukasa · ACHA, 2026 · DOI · arXiv

Fast Rank Adaptive CUR via a Recycled Small Sketch
with N. Pritchard, Y. Nakatsukasa, and P.-G. Martinsson · Preprint, 2025 · arXiv

Low-rank Approximation of Parameter-dependent Matrices via CUR Decomposition
with Y. Nakatsukasa · SISC, 2025 · DOI · arXiv

Randomized Low-Rank Approximation for Symmetric Indefinite Matrices
with Y. Nakatsukasa · SIMAX, 2023 · DOI · arXiv

All papers →