Zan Ahmad

Zan is a Ph.D. candidate in the Department of Applied Mathematics and Statistics at JHU co-advised by Prof. Trayanova and Mauro Maggioni. He completed his B.A. in Mathematics at New York University along with minors in Chemistry and Film Production. Zan’s undergraduate research at the Courant Institute of Mathematical Sciences focused on mathematical modelings of congenital heart defects and hemodynamics under hypergravity with Charles S. Peskin. After graduating in 2020, he worked as a computational research scientist at Yale Neurology performing quantitative analysis of intracranial EEG recordings from temporal lobe epilepsy patients to predict seizure onset.  In the Trayanova Lab, Zan's research focus is on machine learning and neural operators for accelerating cardiovascular modeling, Riemannian shape analysis and high dimensional statistics for medical image data. See his personal webpage for more details.

Outside of the lab, you can find Zan on the golf course or recording fingerstyle electric guitar music.

Please feel free to reach out to Zan (zahmad6@jhu.edu) if you’d like to learn more about the lab.