معرفی
Elizabeth Cherry is an Associate Professor in the School of Computational Science and Engineering (College of Computing) at Georgia Institute of Technology, and currently serves as the Associate Dean for Graduate Education. She holds a BS in Mathematics from Georgetown University and a PhD in Computer Science from Duke University. Her research focuses on computational modeling of cardiac arrhythmias, leveraging high-performance computing, numerical methods, and data assimilation to understand reentrant wave dynamics in the heart. Key applications include model development, parameter estimation, and integration with experimental data. She has contributed to tools like CardioFit and Unimapper, advancing patient-specific cardiac modeling.
Her editorial roles include serving on the editorial board of Chaos and as a review editor for Frontiers in Physiology. She has organized major conferences such as the SIAM Conference on Applications of Dynamical Systems and Dynamics Days. Her work is supported by the NSF and NIH, addressing arrhythmia mechanisms and therapeutic strategies. Research highlights include studying voltage/calcium alternans, fractional diffusion effects, and rotor-mapping algorithms for atrial fibrillation ablation targets.
Advising and grants: Her research is funded by NSF and NIH grants. No awards explicitly mentioned in texts. Her lab focuses on interdisciplinary computational cardiology, collaborating on projects like the Cybercardia initiative for implantable device modeling.
