About me

I joined the Johns Hopkins University Applied Mathematics and Statistics PhD program in June 2022. Since then, I have been a graduate researcher in the Computational Cardiology Lab where I am fortunate to be advised by Natalia Trayanova and Mauro Maggioni. My current research interests involve scientific machine learning for accelerating cardiovascular modeling and simulation. I am grateful to have been supported by several training grants and fellowships throughout my academic career with the most recent being the American Heart Association Predoctoral Fellowship (2024-2026).

I received my Bachelor’s in Mathematics (Honors) from New York University’s Courant Institute of Mathematical Sciences, with minors in Chemistry and Film Production. During my time there, I worked on mathematical biology research under Charles S. Peskin and Charles Puelz. Prior to beginning my graduate studies, I spent a year as a computational neuroscience research scientist at Yale University under Hal Blumenfeld.