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Yesom Park



Hedrick Assistant Adjunct Professor
Department of Mathematics, UCLA

Research Interests:
Scientific Machine Learning · Numerical Analysis





I am a Hedrick Assistant Adjunct Professor in the Department of Mathematics at UCLA, where I work with Stanley Osher and Hayden Schaeffer.

My research explores the mathematical foundations of modern computation at the intersection of differential equations, machine learning, and numerical analysis. Rather than pursuing incremental algorithmic improvements, I seek mathematical principles that lead to computational methods that are not only faster or more accurate, but fundamentally better formulated. I rethink computational problems from first principles by identifying appropriate mathematical representations, uncovering hidden structures, and establishing connections across seemingly distinct fields.

This perspective shapes my research in scientific machine learning, neural representations, generative modeling, optimal transport, 3D computer vision, and convergence and preconditioning analysis.

I received my Ph.D. in Mathematics from Seoul National University, advised by Myungjoo Kang.

selected publications

  1. SISC
    Scalable Fixed-Point Framework for High-Dimensional Hamilton-Jacobi Equations
    Yesom Park and Stanley Osher
    SIAM Scientific Computing, 2026
  2. IJCV
    Neural Shortest Path for Surface Reconstruction from Point Clouds
    Yesom Park, Imseong Park, Jooyoung Hahn, and 1 more author
    International Journal of Computer Vision, 2026
  3. SINUM
    Localized Estimation of Condition Numbers for MILU Preconditioners on a Graph
    Geonho Hwang, Yesom Park, Yueun Lee, and 2 more authors
    SIAM Journal on Numerical Analysis, 2026
  4. ICLR
    Neural Hamilton–Jacobi Characteristic Flows for Optimal Transport
    Yesom Park, Shu Liu, Mo Zhou, and 1 more author
    In International Conference on Learning Representations, 2026
  5. SISC
    Neural Implicit Solution Formula for Efficiently Solving Hamilton–Jacobi Equations
    Yesom Park and Stanley Osher
    SIAM Journal on Scientific Computing, 2025
  6. NeurIPS
    How does PDE order affect the convergence of PINNs?
    Changhoon Song, Yesom Park, and Myungjoo Kang
    Advances in Neural Information Processing Systems, 2024
  7. JCP
    ReSDF: Redistancing implicit surfaces using neural networks
    Yesom Park, Chang Song, Jooyoung Hahn, and 1 more author
    Journal of Computational Physics, 2024
  8. NeurIPS
    p -Poisson surface reconstruction in curl-free flow from point clouds
    Yesom Park, Taekyung Lee, Jooyoung Hahn, and 1 more author
    Advances in Neural Information Processing Systems, 2023