Nathan King


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I am a Computer Science PhD candidate at the University of Waterloo. My research focuses on computational methods involving closest point surface representations, with a particular interest in geometry processing and physics-based animation applications. I also have experience with other common surface representations, e.g., level-sets, point clouds, and meshes. I am supervised by Christopher Batty (UW) and Steve Ruuth (SFU).

Prior to starting my PhD, I developed computer vision/image processing algorithms in the marine radar industry for 2 years. I completed my MSc in Applied and Computational Math at Simon Fraser University in 2015. I received my BSc in Applied Math and Physics (Joint Honours) at Memorial University of Newfoundland in 2013.

RESEARCH



Solving variational problems and partial differential equations that map between manifolds via the closest point method

Journal of Computational Physics 336 (2017) 330-346

Nathan King & Steven Ruuth

Thin Shell Simulation with Environmental Stimuli

Course Project - Physics-Based Animation (2019)

Nathan King

Segmentation of Piecewise Constant Grayscale Images

Course Project - Mathematical Image Processing and Analysis (2014)

Nathan King


EXPERIENCE

  • June 2023 – November 2023

    Research Scientist Intern, Reality Labs Research (Meta)

  • August 2021 – February 2022

    Research Intern, Reality Labs Research (Meta)

  • May 2020 – December 2020

    Sessional Instructor, University of Waterloo

  • March 2016 – June 2018

    Research Scientist, Rutter Inc.

AWARDS

  • Ontario Graduate Scholarship (2024)
  • Queen Elizabeth II Graduate Scholarship in Science and Technology (2023)
  • Queen Elizabeth II Graduate Scholarship in Science and Technology (2022)
  • NSERC Postgraduate Scholarship (2015)
  • NSERC Canadian Graduate Scholarship (2014)