Yuan-chen Guo
Research Scientist at VAST
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolYuan-chen Guo is a research scientist with a decade of experience at the intersection of academic research and industrial R&D, currently based in Beijing and completing a PhD in Computer Science at Tsinghua University. He focuses on scalable 3D content generation and deep learning systems, contributing backend engineering and core-module refactors to the threestudio unified framework. Prior roles include a multi-year research internship at Tencent and now applied research at VAST, where he bridges prototyping and production-grade model engineering. His open-source work emphasizes robustness and efficiency—adding type-checked configurations, geometry normal computations, and optimized neural layers to complex codebases. Colleagues know him for fixing subtle bugs that improve long-term maintainability and for translating advanced research ideas into pragmatic system improvements. He combines strong academic foundations with hands-on backend development, often surfacing under-the-hood improvements that accelerate team progress.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Tsinghua University
Github Skills (9)
pytorch10
refactoring10
deep-learning10
back-end-development10
python10
refactor10
model-optimization9
type-checking9
typehinting9
Programming languages (6)
Github contributions (5)
threestudio-project/threestudio
May 2023 - Dec 2024
A unified framework for 3D content generation.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 63 reviews, 73 PRs in 1 year 7 months
Contributions summary:Yuan-chen's commits primarily focus on refactoring and improving the core modules within the threestudio framework. They added type checking for configuration files, supported normal computation within the geometry module, and improved the efficiency of the neural network layers. The user also fixed several bugs and introduced code changes to the deep learning model framework.
bennyguo/instant-nsr-pl
Nov 2022 - Mar 2023
Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!
Contributions:4 reviews, 40 commits, 10 PRs in 4 months
pytorchreconstructionboilerplatesurface-reconstructiondeep-learning
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