Welcome to my webpage! I am currently a Ph.D. student in the Department of Applied Mathematics & Statistics at Johns Hopkins University working with Professor Natalia Trayanova. I am mainly interested in computational fluid dynamics and statistical learning methods. My research in the Computational Cardiology Lab focuses on the development and application of mathematical and computational tools for quantifying stroke risk in atrial fibrillation.
I received my Bachelor’s in Mathematics from NYU Courant Institute of Mathematical Sciences where I worked on several mathematical physiology research projects with Dr. Charles Peskin and Dr. Charles Puelz, mainly focused on hemodynamic modeling in various cardiovascular physiologies. Between my undergraduate and graduate education, I worked in Dr. Hal Blumenfeld’s lab at the Yale Neurology Department as a computational neuroscience research associate. My research focused on quantitative analysis of icEEG data for better understanding and treating temporal lobe epilepsy.
My partner Avisha is a Ph.D. Candidate in the Department of Electrical and Computer Engineering at Johns Hopkins. Her webpage can be found here.