Research and Projects
My current research lies in using machine learning and bayesian statistics for analyzing medical data. I am interested in using techniques that involve change of bases, like Fourier transforms or spectral decompositions.
In the past, I had a taste for using creating medical treatment plans using mathematical optimization. Before that, I had a stint in more theoretical mathematics, generating algorithms for problems in computational algebra.
Course projects reflect my desire to blend interesting theory, modern applications, and computational tractability--take a look at some of them!
Fellowships
(2024-29) NSF GRFP
(2024-25) Counselman Fellowship, JHU
(2024) MINDS Fellowship, JHU
(2022-23) Bradford Fellowship, JHU