Yingnan (Nancy) Zhang
Nancy is a Ph.D. Candidate in the Department of Biomedical Engineering in Johns Hopkins School of Medicine. She graduated from Georgia Institute of Technology as the Outstanding Academic Achievement Award winner of graduation year 2020 with a B.S. in Biomedical Engineering. She also obtained minors in mathematics and French.
During her undergrad, she conducted research in cardiovascular computational fluid dynamics (CFD) and fluid-structure interaction (FSI). Her current research in the lab focuses on using image-based computational modeling to simulate arrhythmias in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC), which could be translated to guiding clinical decision-making and procedures such as catheter ablation. Her research interests involve applying machine learning tools to develop automatic cardiac modeling workflows for translational purposes.
Outside her research life, Nancy enjoys spending time in gym, hiking and playing 3D puzzles. If you have any questions regarding Nancy’s research, please feel free to reach out: firstname.lastname@example.org