Yinuo Ren
PhD Candidate
Stanford University
Email: yinuoren at stanford dot edu
I am a PhD candidate in Applied and Computational Mathematics at the Institute for Computational and Mathematical Engineering, Stanford University. I am fortunate to work with Prof. Lexing Ying (Applied Mathematics and Computer Science) and Prof. Grant M. Rotskoff (Computational Chemistry).
My research focuses on generative modeling, especially the mathematical foundations and algorithmic design of flow and diffusion-based generative models, with applications across natural and artificial intelligence.
Previously, I was a
- Student Researcher at ByteDance Seed, working on LLM research (Winter 2026).
- Visiting Researcher at Flatiron Institute, Simons Foundation, hosted by Dr. Jiequn Han, working on the inference-time scaling of diffusion models (Summer 2025).
- Applied Scientist Intern at Amazon Science, working on multi-objective LLM fine-tuning and multi-objective optimization (Summer 2023 & 2024).
I obtained my BS in Computational Mathematics from the School of Mathematical Sciences, Peking University, supervised by Prof. Ruo Li.