Ruiyi Yang

Welcome to my homepage!

I am a Tenure-Track Associate Professor at the Institute of Natural Sciences and the School of Mathematical Sciences at Shanghai Jiao Tong University.

Previously, I was a postdoc in PACM at Princeton University under supervision of Prof. Amit Singer. I obtained my Ph.D. in Computational and Applied Mathematics at the University of Chicago in 2022, advised by Prof. Daniel Sanz-Alonso, and a B.S. in Mathematics from UCLA in 2017.

My research interests lie broadly at the intersection of computation and learning, with a focus on designing efficient algorithms that have solid mathematical foundations for problems arising from machine learning and inverse problems. Specifically, I have been working on

• Gaussian processes, Bayesian learning, and uncertainty quantification
• Statistical foundations of generative models and nonparametric mixtures
• Computational harmonic analysis of manifold/group-constrained problems.

Prospective Ph.D. students as well as motivated undergraduate students are welcome to reach out!