Hi! I'm Ruichen Xu
Ph.D. candidate in Computational Applied Mathematics at Stony Brook University. I build reliable scientific-ML systems for PDEs, neural operators, and optimization/sampling. My first public open project is PartialObs–PDEBench.
✉️ ruichen.xu@stonybrook.edu | 🔗 Homepage | 💼 LinkedIn | 🐙 GitHub | 🎓 Google Scholar | 📝 OpenReview | 🏛️ IACS Seminar
Open Projects
- PartialObs–PDEBench — Benchmarking partial observation settings for PDE learning (Neural Operators, diffusion baselines, and more).
People
- Advisors: Prof. Yuefan Deng
- Collaborator: Prof. Bertal H. Aktas (Brigham and Women’s Hospital; Harvard Medical School)
- Peer Collaborators: Fang Wan, Georgios (Giorgos) Kementzidis, Jingxiang Qu, Siyao Wang, Wenhan Gao
News
- New: Released my first public open project, PartialObs–PDEBench.
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