Matthew Cong

Principal Research Scientist, NVIDIA
Ph.D. Computer Science, Stanford University
B.S. Engineering Physics and Computer Science, Cornell University

Santa Clara, CA

LinkedIn

Matthew received his Ph.D. in Department of Computer Science at Stanford University in 2016 where he was advised by Professor Ron Fedkiw and supported by a National Defense Science and Engineering Graduate Fellowship. Currently, Matthew works as a Principal Research Scientist at NVIDIA on the Omniverse team. From 2012 to 2020, he worked as a Research and Development Engineer at Industrial Light & Magic focusing on facial animation and simulation. He has received screen credits for this work on "Kong: Skull Island", "Avengers: Endgame", and "The Irishman".

Prior to attending Stanford, Matthew received his B.S. in Engineering Physics and Computer Science from Cornell University in 2011. As an undergraduate, he worked on computational ab initio physics and electrochemistry as well as path planning for personal robotics. Matthew was also an intern at Morgan Stanley in 2010.

Selected Publications

A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting
Preprint

Matthew Cong, Francis Williams, Jonathan Swartz, Mark Harris, Sanja Fidler, and Ken Museth

arXiv:2606.11390 (June 2026)
Preprint
An Interface Tracking Method with Triangle Edge Cuts
Paper

Mengdi Wang, Matthew Cong, and Bo Zhu

Journal of Computational Physics 520, 113504 (2025)
Preprint DOI: 10.1016/J.JCP.2024.113504
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence
Paper

Francis Williams, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, and Ken Museth

SIGGRAPH 2024, ACM TOG 43, 4, Article 133 (July 2024)
Preprint DOI: 10.1145/3658226
Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution
Paper

Hyojoon Park, Sangeetha Grama Srinivasan, Matthew Cong, Doyub Kim, Byungsoo Kim, Jonathan Swartz, Ken Museth, and Eftychios Sifakis

ACM Transactions on Graphics (TOG), 2024
Preprint DOI: 10.1145/3670687
Local Geometric Indexing of High Resolution Data for Facial Reconstruction from Sparse Markers
Paper

Matthew Cong, Lana Lan, and Ronald Fedkiw

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Preprint DOI: 10.1109/TVCG.2023.3289495
High-Fidelity Physics in Omniverse: Validation and Verification of Realistic Muscle Simulations
Talk

Ken Museth and Matthew Cong

GTC Spring 2021
Video
High-Quality Face Capture Using Anatomical Muscles
Paper

Michael Bao, Matthew Cong, Stéphane Grabli, and Ronald Fedkiw

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Preprint DOI: 10.1109/CVPR.2019.01106
Muscle-Based Facial Retargeting with Anatomical Constraints
Talk

Matthew Cong and Ronald Fedkiw

ACM SIGGRAPH 2019 Talks
DOI: 10.1145/3306307.3328154
Lessons from the Evolution of an Anatomical Facial Muscle Model
Talk

Lana Lan, Matthew Cong, and Ronald Fedkiw

DigiPro '17
DOI: 10.1145/3105692.3105693
Muscle Simulation for Facial Animation in Kong: Skull Island
Talk

Matthew Cong, Lana Lan, and Ronald Fedkiw

ACM SIGGRAPH 2017 Talks
DOI: 10.1145/3084363.3085040
Art-Directed Muscle Simulation for High-End Facial Animation
Paper

Matthew Cong, Kiran Bhat, and Ronald Fedkiw

ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), edited by L. Kavan and C. Wojtan, pp. 119-127 (2016)
PDF DOI: 10.2312/SCA.20161229
Automatic Generation of Anatomical Face Simulation Models
Paper

Matthew Cong, Michael Bao, Jane E, Kiran Bhat, and Ronald Fedkiw

ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), edited by F. Bertails-Descoubes and S. Coros, pp. 175-183 (2015)
PDF DOI: 10.1145/2786784.2786786
Codimensional Surface Tension Flow on Simplicial Complexes
Paper

Bo Zhu, Ed Quigley, Matthew Cong, Justin Solomon, and Ronald Fedkiw

SIGGRAPH 2014, ACM TOG 33, 4, Article 111 (July 2014)
PDF DOI: 10.1145/2601097.2601201
A New Grid Structure for Domain Extension
Paper

Bo Zhu, Wenlong Lu, Matthew Cong, Byungmoon Kim, and Ronald Fedkiw

SIGGRAPH 2013, ACM TOG 32, 63.1-63.8 (2013)
PDF DOI: 10.1145/2461912.2461999
Simulating Free Surface Flow with Very Large Time Steps
Paper

Michael Lentine, Matthew Cong, Saket Patkar, and Ronald Fedkiw

ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), edited by P. Kry and J. Lee, pp. 107-116 (2012)
PDF DOI: 10.5555/2421731.2421748