In vivo brain magnetic resonance spectroscopy (MRS) is a non-invasion analytical technique that exploits the magnetic properties of certain atomic nuclei to study the chemical making of brain voxels. It is commonly used in practice by neurologists to monitor biochemical changes in the brain of patients who have tumors, epilepsy, metabolic disorders, and neurodegenerative diseases. However, conventional MRS procedures take at least twenty minutes to perform. The aim of this project is to apply a sparse fast fourier transform (sFFT) algorithm to MRS to reduce its image acquisition time and to suppress undersireable artifacts in the image.

I interned at Amazon with the Kindle Digital Content Delivery team on designing and implementing a new event handler for processing Kindle related events. I’ve also interned at the Johns Hopkins Center for Computer Integrated Surgical Systems and Technologty on deveoping a visualization software for tracking surgical robot movements.