Syed Yusuf Ali

Syed Yusuf Ali is a fifth year Ph.D. student in the Department of Biomedical Engineering at Johns Hopkins University. Prior to joining the lab, he earned his bachelor's degree in Mechanical Engineering (2017) from Aligarh Muslim University, India and his master's degree in Mechanical Engineering (2018) from Johns Hopkins, where he majored in Fluid Dynamics, Heat Transfer and Computational Science.

At the Computational Cardiology Lab, his PhD research focuses on investigating the arrhythmogenicity of atrial fibrotic substrates using digital twins derived from Late Gadolinium Enhancement (LGE) MRI, supported by electroanatomical maps for clinical correlation. He has made significant contributions to the lab, including the development of an innovative computational technique to generate realistic human atrial fiber orientations, which has become a cornerstone for most atrial fibrillation projects.

In his free time, he enjoys reading books, writing stories, and playing with his cat, Laddoo.