معرفی
Natalia Trayanova is the Murray B. Sachs Professor of Biomedical Engineering and Professor of Medicine at Johns Hopkins University. She leads the Computational Cardiology Laboratory and directs the Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE), a multidisciplinary institute integrating predictive modeling, AI, and cardiac imaging to advance clinical care. Her research focuses on computational cardiology, arrhythmia therapies, and personalized medicine through digital heart twins. She holds appointments in the Whiting School of Engineering and School of Medicine, and is affiliated with the Institute for Computational Medicine.
Education:
- PhD in Biophysics (Bioengineering), Bulgarian Academy of Sciences (1986)
- MS in Physics, Sofia University (1982)
- Postdoctoral Training in Biomedical Engineering, Duke University (1986–1988)
Research Interests:
- Computational modeling of cardiac electrophysiology
- AI-driven arrhythmia prediction and treatment
- Personalized heart digital twins
- Machine learning in cardiology
Awards & Honors:
- NIH Director’s Pioneer Award (2013)
- Women of Technology International Hall of Fame (2019)
- IEEE Fellow (2024)
- Hodgkin-Huxley-Katz Prize Lecture (2024)
Grants & Commercialization:
- Funded by NIH, NSF, AHA, and DOD
- Founder of Cardiosolv Ablation Technologies
- 43 patents and patent applications
Her lab’s innovations include FDA-approved clinical trials for arrhythmia treatments and AI platforms for arrhythmia prediction. She collaborates across disciplines to translate computational models into clinical practice, addressing cardiovascular disease mechanisms and treatment strategies.
