Hi.

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 the 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.

In 2023-24, I will co-organize 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.

See:

• Research/Projects for my mathematical background,

• Links 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