I am a Rufus Isaacs postdoctoral fellow at the Department of Applied Mathematics and Statistics (AMS) at Johns Hopkins 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 systems. Specific topics include randomized numerical linear algebra, computational inverse problems and experimental design.
Contact
- Email: rjin18 [at] jhu [dot] edu
- Office: Wyman Park Building N416