I am a PhD student at Johns Hopkins University (JHU) in the Department of Applied Mathematics and Statistics (AMS). Before JHU, I studied mathematics at Brown University.
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. Also, changing the bases of a problem interests me. For example, I felt most alive when I learned the Fourier transform, SVD, 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 university levels. It amazes how some parts of our human nature doesn't change all too much—what works for children also works for adults. (๑˃ᴗ˂)ﻭ
Research/Projects for my mathematical background,
Links for useful articles from the web, and
Misc for some personal background.
email: jlim 76 [at-sign] jhu •d.o.t• edu
office: Wyman Park Building, Room S415