Wenzhuo Liu is a Data Scientist with nine years of experience blending deep academic research and production-grade engineering to accelerate simulation and ML-driven systems. She holds a PhD in AI from Université Paris-Saclay and has cut simulation times by 99% on complex PDEs using hierarchical graph neural networks while improving OOD and small-data performance with meta- and transfer-learning techniques. Now at Stellia.ai, she applies that physics-informed ML expertise to real-world products and has a strong backend engineering pedigree—contributing Rust improvements to RisingWave and GPU/CUDA refinements to NVIDIA's CUTLASS. A seasoned educator and organizer, she taught deep learning to hundreds of students and ran academic workshops, and on GitHub she also optimized build and CI pipelines for large community projects like OI-wiki. Her background uniquely combines numerical PDEs, graph neural nets, and systems-level code optimization, enabling her to move ideas from research into high-performance production.
9 years of coding experience
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Université Paris-Saclay
Bachelor's degree, Physics, Bachelor's degree, Physics at 武汉大学
Master 2 (M2), Data Science, Master 2 (M2), Data Science at École Polytechnique
Engineering's Degree, Applied Mathematics, Engineering's Degree, Applied Mathematics at ENSTA ParisTech - École Nationale Supérieure de Techniques Avancées
Bachelor's degree, Physics, Bachelor's degree, Physics at Université Claude Bernard Lyon 1
:star2: Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法)
Role in this project:
DevOps Engineer
Contributions:2151 reviews, 424 commits, 815 PRs in 4 years 5 months
Contributions summary:Wenzhuo primarily focused on optimizing the build and deployment process of the project. Their contributions include adding tasks for resource minification (HTML, CSS, JS), integrating these tasks into the CI/CD pipeline, and removing unnecessary dependencies. The user also updated build scripts, specifically modifying the Netlify build script to include the minification step and removing MathJax for production builds, demonstrating expertise in build automation. Furthermore, the user refactored the build process using the `minify-html` command-line tool.
The event stream processing platform for developers. Unified experience for real-time data ingestion, stream processing, and low-latency serving. Best-in-class performance and cost-efficiency. Supports SQL and Python.
Role in this project:
Back-end Developer
Contributions:48 reviews, 37 commits, 39 PRs in 4 months
Contributions summary:Wenzhuo's contributions primarily focused on refactoring and implementing core backend functionalities within the RisingWave stream processing platform, written in Rust. They worked on improving the batch processing engine, specifically addressing executor behavior and error handling. The user enhanced the system by integrating boolean constant folding and expression simplification within the frontend. Further contributions include support for filter clauses in aggregations and implementing output index and PK minimization for join executors, optimizing the performance of the query execution.
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