Syed Yusuf Ali
Syed Yusuf Ali
 
unnamed-2.jpg
 

Hi there! I'm a PhD student in the Biomedical Engineering Department at Johns Hopkins University.

 
DSC_1739.JPG

Resume

I currently work at Dr Natalia Trayanova’s Computational Cardiology Lab where I use computers to simulate the electrophysiology of the human heart and aid clinicians in critical decision-making for arrhythmia management.

 

Experience

Graduate Research Assistant
Johns Hopkins University
Jul 2020 to present

Graduate Student Researcher
Johns Hopkins University
Sep 2017 to Feb 2019

Research Assistant
Johns Hopkins University
Feb 2019 to June 2020

Undergraduate Student Researcher
Aligarh Muslim University, India
Sep 2016 to Jun 2017

 

Education

Ph.D. Biomedical Engineering
Johns Hopkins University
Fall 2020 to present

B.Tech. Mechanical Engineering
Aligarh Muslim University, India
2017

M.S.E. Mechanical Engineering
Johns Hopkins University
2019

 

Soft Skills & Languages

Organized

Patient

Communicative

Empathetic

Collaborative

English

Urdu

Hindi

 
color-3.png
 

Publications

 
 

  • Sakata, K., Yamamoto, C. A., Prakosa, A., Tice, B. M., Ali, S. Y., Loeffler, S., ... & Trayanova, N. A. (2025). Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage. npj Digital Medicine, 8(1), 1-11.

  • Piersanti, R., Bradley, R., Ali, S. Y., Quarteroni, A., & Trayanova, N. A. (2025). Defining myocardial fiber bundle architecture in atrial digital twins. Computers in Biology and Medicine, 188, 109774.

  • Ali, S.Y., et al. (2024). "Unipolar voltage electroanatomic mapping detects structural atrial remodeling identified by LGE-MRI." Heart Rhythm.

  • Sakata, K., Bradley, R. P., Prakosa, A., Yamamoto, C. A., Ali, S.Y., Loeffler, S., ... & Trayanova, N. A. (2024). Optimizing the Distribution of Ablation Lesions to Prevent Postablation Atrial Tachycardia: A Personalized Digital-Twin Study. JACC Clinical Electrophysiology, 10(11), 2347-2358.

  • Loeffler, S. E., Ahmad, Z., Ali, S. Y., Yamamoto, C., Popescu, D. M., Yee, A., ... & Maggioni, M. (2024). Graph Fourier Neural Kernels (G-FuNK): Learning Solutions of Nonlinear Diffusive Parametric PDEs on Multiple Domains. arXiv preprint arXiv:2410.04655.

  • Sakata, K., Bradley, R. P., Prakosa, A., Yamamoto, C. A., Ali, S. Y., Loeffler, S., ... & Trayanova, N. A. (2024). Assessing the arrhythmogenic propensity of fibrotic substrate using digital twins to inform a mechanisms-based atrial fibrillation ablation strategy. Nature cardiovascular research, 3(7), 857-868.

  • Moinuddin, A.*, Ali, S. Y.*, Goel, A., Sethi, Y., Patel, N., Kaka, N., ... & Suhail, M. K. (2023). The age of computational cardiology and future of long-term ablation target prediction for ventricular tachycardia. Frontiers in Cardiovascular Medicine, 10, 1233991.

    Selected Conference Publications

  • Ali, S. Y., Millare, B., Bradley, R., Ali, R. L., Boyle, P. M., Salvador, M., Fedele, M., Aronis, K. N., Paliwal, N., Prakosa, A., Roney, C. H., Vigmond, E. J. , Niederer, S. A., Trayanova, N. A. (2021). Rapid and Robust Mapping of Clinical Data On Personalized Volumetric Atrial Geometries (Heart Rhythm Scientific Sessions, Boston, USA) DOI: 10.1016/j.hrthm.2021.06.927

  • Ali, S.Y., et al. (2023). "An artificial intelligence (AI)-assisted end-to-end computational platform for prediction of extra-pulmonary vein (extra-PVI) ablation targets in atrial fibrillation (AF) patients with fibrosis remodeling." Heart Rhythm 20.5 : S189-S190.

  • Ali, R. L., Prakosa, A., Basile, D., Ali, S. Y., Millare, B., Pandey, P., Paliwal, N., Kholmovski, E. G., Spragg, D. D., Calkins, H., Trayanova, N. A. (2020). A Comprehensive Platform For Computationally-guided Prediction Of Atrial Fibrillation (AF) Ablation Targets From Late Gadolinium Enhancement MRI (LGE-MRI) (Heart Rhythm Scientific Sessions).

Contact

color-3.png