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Ruiyi Yang Home Research Teaching CV Ruiyi Yang Welcome to my homepage! I am a postdoc in PACM at Princeton University under supervision of Prof. Amit Singer . Previously, 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 in the mathematics of data science, with a particular focus on Gaussian process methodologies, inverse problems, and nonparametric statistics. The overall theme of my research is to design efficient algorithms that have solid mathematical foundations. Specifically, I have been working at the intersection of Gaussian processes and manifold learning on better modeling and computational tools for applications in statistical inverse problems. In another line of work, I study nonparametric mixture models on methodological development by drawing novel theoretica...
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