Nathan King

Research Scientist | Shapr3D

NathanKing_Headshot.jpg

I am a researcher in geometry processing and physics-based simulation. My research develops robust and efficient methods with complex objects using closest point queries—allowing algorithms to work across a wide variety of geometric representations without meshing. For more details, check out my PhD thesis.

I completed my PhD in Computer Science at the University of Waterloo, supervised by Christopher Batty and Steve Ruuth. Before that, I was a Research Scientist at Rutter, earned my MSc in Applied and Computational Mathematics from Simon Fraser University, and my BSc in Applied Mathematics and Physics from Memorial University. During my PhD, I interned twice at Meta Reality Labs Research. My work has been presented at SIGGRAPH and SIGGRAPH Asia and published in ACM TOG and JCP. I am currently a Research Scientist at Shapr3D.

News

Jul 15, 2025 Our SIGGRAPH 2025 poster, “Spatial Adaptivity for Solving PDEs on Manifolds with the Closest Point Method”, won 2nd place in the Student Research Competition (graduate category).
Sep 26, 2024 Our SIGGRAPH Asia 2024 Technical Communications paper, “Editing Fluid Flows with Divergence-Free Biharmonic Vector Field Interpolation” and poster “A Simple Heat Method for Computing Geodesic Paths on General Manifold Representations” are available.
Sep 20, 2024 Our SIGGRAPH Asia 2024 paper, “Projected Walk on Spheres: A Monte Carlo Closest Point Method for Surface PDEs” is available online.
Jun 03, 2024 Our ACM TOG paper, “A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing” is now available with code.

Publications

  1. Spatial_Adaptivity_Preview.jpg
    Spatial Adaptivity for Solving PDEs on Manifolds with the Closest Point Method
    Nathan King, Steven Ruuth, and Christopher Batty
    ACM SIGGRAPH Posters, 2025
  2. SA2024_Poster_Rep_Image.jpg
    A Simple Heat Method for Computing Geodesic Paths on General Manifold Representations
    Nathan King, Steven Ruuth, and Christopher Batty
    ACM SIGGRAPH Asia Posters, 2024
  3. SA_2024_Tech_Comm_Preview.jpg
    Editing Fluid Flows with Divergence-Free Biharmonic Vector Field Interpolation
    Tümay Özdemir, Jiamin Shi, Nathan King, and Christopher Batty
    ACM SIGGRAPH Asia Technical Communications, 2024
  4. PWoS_representative.jpg
    Projected Walk on Spheres: A Monte Carlo Closest Point Method for Surface PDEs
    Ryusuke Sugimoto, Nathan King, Toshiya Hachisuka, and Christopher Batty
    ACM SIGGRAPH Asia (Conference Papers), 2024
  5. CPM_IBC_GP.png
    A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing
    Nathan King, Haozhe Su, Mridul Aanjaneya, Steven Ruuth, and Christopher Batty
    ACM Transactions on Graphics, 2024
  6. harmonic_maps_hand.png
    Solving Variational Problems and Partial Differential Equations that Map between Manifolds via the Closest Point Method
    Nathan King, and Steven Ruuth
    Journal of Computational Physics, 2017


Experience

Jun 2023 - Nov 2023 Research Scientist Intern
Meta - Reality Labs Research
Aug 2021 - Feb 2022 Research Intern
Meta - Reality Labs Research
May 2020 - Dec 2020 Sessional Instructor
University of Waterloo - Cheriton School of Computer Science
Mar 2018 - Aug 2018 Research Assistant
Simon Fraser University - Department of Mathematics
Mar 2016 - Jun 2018 Research Scientist
Rutter Inc. - Department of Research and Development

Awards

Jan 2024 - Dec 2024 Ontario Graduate Scholarship
Government of Ontario - University of Waterloo
Jan 2022 - Dec 2023 QEII Graduate Scholarship in Science & Technology
Government of Ontario - University of Waterloo
Sep 2015 - Apr 2016 Postgraduate Scholarship (Doctoral)
NSERC - Simon Fraser University
May 2013 - Apr 2014 Canadian Graduate Scholarship (Masters)
NSERC - Simon Fraser University