Hi.

I am a PhD student at the Johns Hopkins University (JHU) in the Department of Applied Mathematics and Statistics (AMS). Before JHU, I studied mathematics at Brown University. Starting Fall 2024, I will be an NSF Graduate Research Fellow, an opportunity which I am grateful to be selected for.

My current research is in Bayesian statistics and machine learning for medical data analysis, advised by Tamás Budavári. I am motivated by a delicious mix of theory, computation, and application. In particular, changing the bases of a problem interests me. For example, I felt most alive when I learned the Fourier transform, SVD, spectral embedding, Newton's method, or neat counting tricks.

For 2023-24, I am co-organizing the AMS Graduate Student Seminar and Directed Reading Program (DRP). Back in Brown, I co-organized the Symposium for Undergraduates in the Mathematical Sciences (SUMS) for 2021 and 2022.

Teaching and mentoring is also important and fulfilling to me. I seek to bring meaningful and uplifting experiences to others. I have experience teaching students from the elementary to the university levels. It amazes how some parts of our human nature don't change all that much—what works for children also works for adults. (๑˃ᴗ˂)ﻭ

See:

• Research/Projects for my mathematical background,

• Teaching for my work at the university level,

• ROW for useful articles from the web, and

• Misc for some personal background.

CV

email:  jlim   76  [at-sign]  jhu  •d.o.t•  edu

office: Wyman Park Building, Room S415