Research Overview

Intraneuron calcium response to TMS pattern, simulated using SPINE.

My research centers on developing fast and accurate methods for the solution of multiscale partial differential equations (PDEs), with a focus on applications in neurophysiology.

I am particularly interested in combining traditional approaches — such as physical model reduction and efficient implementations of high-order techniques — with modern machine learning methods. A key goal is developing software packages that are broadly usable across research, clinical, and educational domains.

My current work uses traditional PDE discretization alongside ML techniques to investigate the effects of transcranial magnetic stimulation in the treatment of tremor conditions, from the single-cell to network level.