Matthew Cong
Senior Research Scientist at NVIDIA
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMatthew Cong is a Senior Research Scientist at NVIDIA with 14 years of experience at the intersection of computer graphics, simulation, and software engineering, holding a Ph.D. in Computer Science from Stanford and a B.S. in Engineering Physics and CS from Cornell. He previously spent eight years as an R&D Engineer at Industrial Light & Magic, earning screen credits on major films like Kong: Skull Island and Avengers: Endgame for advances in facial animation and simulation. At NVIDIA he continues to translate advanced research into production-quality systems, and his open-source contributions include bug fixes and build improvements to the widely used OpenColorIO color management framework. Matthew blends deep physics-based modeling expertise with practical engineering—comfortable touching low-level build systems, mutexes, and Python examples as well as high-level research problems. Outside of work he pursues endurance sport and strength training, recently completing his first triathlon and regularly seeking out new bakeries and coffee shops in San Francisco.
14 years of coding experience
Bachelor of Science (B.S.), Engineering Physics and Computer Science, Bachelor of Science (B.S.), Engineering Physics and Computer Science at Cornell UniversityDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Stanford University
Github Skills (7)
c-language10
cprogramming-language10
computer-engineering10
color-management10
build-system9
compiler-optimization9
testing8
Programming languages (2)
Github contributions (5)
AcademySoftwareFoundation/OpenColorIO
Aug 2019 - Oct 2019
A color management framework for visual effects and animation.
Role in this project:
Software Engineer
Software EngineerContributions:9 commits, 13 PRs, 12 comments in 1 month
Contributions summary:Matthew primarily contributed to improving the OpenColorIO framework by fixing bugs, refactoring code, and enhancing the codebase. They addressed issues related to Python examples, GCC compiler compatibility, and mutex implementations. The user also made improvements to build processes, including replacing deprecated methods, and corrected spelling mistakes, along with general code cleanup and improvements.
post-processinganimationvisual-effectscolor-managementlighting
matthewdcong/openvdb-aswf
Jul 2020 - Mar 2025
OpenVDB - Sparse volume data structure and tools
Contributions:84 pushes, 13 branches in 4 years 8 months
sparsedata-structurevolumeopenvdb
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