Siyi Chen (陈斯熠)
About Me
- Education
- I am an Incoming Ph.D. student at EECS, University of Michigan, advised by Prof. Jun Gao and Prof. Qing Qu. Before joining UMich, I received my undergraduate degree from the Peking University, majoring in Physics.
- Research Interests
- My research interests lie in probablistic machine learning, Diffusion Models and AI4Scince like data assimilation.
News
- [Jun 2025] Our paper on flow matching for data assimilation is updated.
Publications
See details in the Publications
Work experience
- Summer 2024: Intern in University of Michigan, Ann Arbor
- Lead the ML for scientific application project in Qing’s group, the main project is to use the generative models to model and predict chaotic dynamic systems like fluids and use it to solve real-world problems, we primarily focus on the data assimilation task.
- Introduce the current research projects in various seminars and symposiums, like IMSI workshop, CSP seminar etc.