David Belgrod

David Belgrod

Student

New York University

About Me

I recently earned my Master’s degree in Computer Science from the Courant Institute, New York University, working as a research assistant under Professor Daniele Panozzo at the Geometric Computing Lab. My research focuses on collision detection, physical simulation, and parallel computing.

Interests
  • Physical Simulation
  • Geometry Processing
  • Scientific Computing
Education
  • MSc in Computer Science, 2023

    New York University

  • BCom in Math, Finance & CS minor, 2017

    McGill University

Experience

 
 
 
 
 
Geometric Computing Lab
Research Assistant
Geometric Computing Lab
Oct 2020 – Present New York
 
 
 
 
 
Asset Management One
Senior Quantitative Developer
Asset Management One
Apr 2022 – Present New York
 
 
 
 
 
Asset Management One
Quantitative Developer
Asset Management One
Aug 2018 – Mar 2022 New York

Research

Time of Impact Dataset for Continuous Collision Detection and a Scalable Conservative Algorithm
We introduce a large-scale benchmark for broad- and narrow-phase continuous collision detection (CCD) over linearized trajectories with exact time of impacts and use it to evaluate the accuracy, correctness, and efficiency of 13 state-of-the-art CCD algorithms.
Time of Impact Dataset for Continuous Collision Detection and a Scalable Conservative Algorithm

Projects

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Optimized Centers of Rotation
A visual comparison between Dual Quaternion Skinning and the paper’s approach illustrating how the paper’s technique avoids artifacts.
Optimized Centers of Rotation
Shape Deformation via Multiresolution Editing
A visual diagram of a hand able to curl its fingers naturally
Shape Deformation via Multiresolution Editing

Contact