معرفی
Joseph Greenstein, PhD, is a Senior Lecturer in the Department of Biomedical Engineering at Johns Hopkins University, affiliated with the Whiting School of Engineering and the Institute for Computational Medicine. His expertise spans precision medicine, machine learning in critical care, physiological modeling, and cardiac electrophysiology. He teaches courses in biomedical data sciences and co-develops the Precision Care Medicine program, where students analyze large patient datasets using machine learning. Active in collaborative research, Greenstein develops predictive analytics for early detection of clinical deterioration (e.g., sepsis, respiratory failure) and models cardiac arrhythmia mechanisms. His work bridges computational methods with clinical translation, addressing both applied healthcare challenges and fundamental physiological questions.
Greenstein’s research includes computational models of cardiac function and arrhythmogenesis, leveraging experimental data to simulate cellular and systemic processes. He has contributed to understanding the role of calcium signaling and ion channel regulation in heart failure. Collaborations with clinical mentors and industry partners emphasize real-world application of predictive tools in medical training and patient care.
No specific awards are listed, but his contributions to computational physiology and critical care analytics reflect significant scholarly impact. He mentors graduate students in independent research and advises on projects integrating data science with biomedical engineering.
