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. I am an NSF Graduate Research Fellow, an opportunity that I am grateful to be selected for.

My research is in two areas: medicine and ocean dynamics. First, I am using machine learning for medical data analysis, advised by Tamás Budavári (Applied Math and Stats) and Rohan Mathur (Neurology).  Second, I am predicting ocean transport in the subarctic, advised by Thomas Haine (Earth and Planetary Sciences).

I am motivated by a delicious mix of theory, computation, and application. In particular, changing the basis or finding transforms of a problem interests me. For example, I felt most alive when I learned the Fourier transform, SVD, Laplacian Eigenmaps, conjugate gradient method, Newton-Raphson optimization, or neat counting tricks.

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

In the past, I organized the JHU Directed Reading Program (DRP) and the JHU AMS graduate student seminar. Back at Brown, I co-organized the Symposium for Undergraduates in the Mathematical Sciences (SUMS).


See:


CV

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

office: 6225 Smith Ave, Building A, Room SE230 (Mt Washington Campus), I no longer have my Wyman S425 office but you may sometimes find me there.