David Belgrod

David Belgrod

AI & World Models for Quant R&D
Real-time skinning · LBS / DQS / CoR
Interactive hand posing
Auto-playing previews — open a project to grab fingers, bend the rod, and switch skinning methods.

About Me

I 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 focused on collision detection, physical simulation, and parallel computing.

Interests

  • World Models
  • Physical Simulation

Education

  • MSc in Computer Science, 2023
    New York University
  • BCom in Math, Finance & CS minor, 2017
    McGill University

Experience

 
 
 
 
 
Asset Management One
Vice President, Quantitative Development
Asset Management One
Apr 2026 – Present New York
 
 
 
 
 
Asset Management One
Associate, Quantitative Development
Asset Management One
Apr 2022 – Mar 2026 New York
 
 
 
 
 
Asset Management One
Quantitative Developer
Asset Management One
Aug 2018 – Mar 2022 New York
 
 
 
 
 
Geometric Computing Lab
Research Assistant
Geometric Computing Lab
Oct 2020 – Aug 2023 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