Ruhui Jin

I am a Rufus Isaacs postdoctoral fellow at the Department of Applied Mathematics and Statistics (AMS) at Johns Hopkins University.

From January to April 2026, I was a semester postdoc in the Stochastic and Randomized Algorithms in Scientific Computing program, supported by ICERM at Brown University.

Previously, I was a Van Vleck postdoc at University of Wisconsin-Madison, and an affiliate of the Institute for Foundations of Data Science (IFDS), mentored by Qin Li.

I obtained my Ph.D. in mathematics from the University of Texas at Austin in 2022, where I was fortunately advised by Rachel Ward.

My research is in mathematics of data science , focusing on data-driven and scientific machine learning methods for understanding physical and biological systems.


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