Research Interests
Raimond L. Winslow, the Johns Hopkins Raj and Neera Singh Professor of Biomedical Engineering, is recognized as the founder of the new field of computational medicine, which uses innovative computational models of the molecular biology, physiology, and anatomy of disease to understand, diagnose, and treat disease, and improve patient care.
As founding director of the Institute for Computational Medicine (ICM) at Johns Hopkins, the first and largest research institute of its kind, Winslow leads a collaborative team of engineers, mathematicians, computational scientists, and biomedical researchers from the Johns Hopkins’ schools of medicine and engineering. He coined the phrase “computational medicine,” and it was his interest in understanding heart disease from the perspective of quantitative models that led to the development of computational medicine as a discipline. ICM researchers develop a broad range of computational models of disease that can be individualized using data measured from the patient, and then applied to diagnose and treat disease tailored to the needs of the individual.
Winslow’s research centers on cardiovascular system function in health and disease. He develops experimentally-based computational models and applies them to gain insights into the molecular basis of arrhythmias. Specifically, he studies computational modeling of intracellular signaling, metabolism, and electrical excitability in cardiac myocytes; biomedical data representation and database design; grid-computing and data-sharing; integrative modeling of cardiac function in health and disease; and cardiovascular informatics. One of his research team’s numerous achievements is being the first to reconstruct the geometry and fiber architecture of the cardiac ventricles using diffusion tensor magnetic resonance imaging (DTMRI), now the standard approach for measuring cardiac fiber architecture at high spatial-resolution.
He led the CardioVascular Research Grid Project, funded by the National Heart, Lung, and Blood Institute and comprising four universities and 20 software developers, to provide cardiovascular clinical-researchers seamless and secure access to study datasets and analysis tools through their browser. His team created WaveformECG, a web-based platform for managing, visualizing, annotating, and analyzing ECG data.
Winslow has authored or co-authored more than 130 peer-reviewed articles and 12 book chapters, has more than 10,000 research citations, has received numerous grants, and holds three patents. He holds a joint appointment in the JHU departments of Computer Science and Electrical and Computer Engineering, as well as the School of Medicine’s Division of Health Care Informatics and is vice chair of academic programs for the Biomedical Engineering department. Past service to Hopkins includes directing the Biomedical Engineering PhD program. Since 2009, he has been an adjunct professor at the University of Maryland Baltimore. From 2000 to 2001, he was a visiting scientist at the NIH National Center for Biotechnology Information.
His awards and achievements are extensive. Widely published in academia, he often is cited by the media for his pioneering work in computational medicine for articles in Computers & Medicine, Science Magazine, The World of Science, and Science Translational Medicine. He is a fellow of the Biomedical Engineering Society, American Heart Association, and American Institute for Medical and Biological Engineering. Invited to be the keynote or plenary speaker for numerous conferences, he most recently spoke at the 2017 Aegean Conference on Networks and Systems Medicine, Crete, Greece, and at the 7th Advanced Institute on Global Healthcare Research and Education at Harvard University in 2017.
Winslow’s professional service extends to the Facebase Consortium Steering Committee, an NIDCR-funded comprehensive database and resource for craniofacial researchers, a member of the NIDDK Diabetes Research Center Study Section, the National Task Force of the Sleep Research Society and American Society of Sleep Medicine, the External Scientific Panel of the Trans-NIH Nuclear Receptor Signaling Atlas Consortium, and the Executive Advisory Board of the NIH Center for Bioelectric Field Modeling, Simulation and Visualization. He has chaired or co-chaired multiple conferences or sessions in his field.
Winslow serves as specialty editor in chief for the journal Frontiers in Computational Physiology and Medicine, Associate Editor of Wiley Interdisciplinary Reviews: Systems Biology and Medicine, a member of the editorial boards of Biophysical Journal, Circulation Research, The Journal of Molecular and Cellular Cardiology, IET Systems Biology and the International Journal of Computational Medicine and Healthcare, and reviews articles for more than 20 journals.
He earned his BS in Electrical Engineering (1978) from Worcester Polytechnic Institute and PhD in Biomedical Engineering (1985) from the Johns Hopkins University School of Medicine.
Titles
- Raj and Neera Singh Professor, Biomedical Engineering
- Director, Institute for Computational Medicine
- Professor, Computer Science
- Professor, Electrical & Computer Engineering
- Professor, Division of Health Care Informatics
Affiliated Centers & Institutes
Education
- PhD, Biomedical Engineering, Johns Hopkins University, 1985
- BS, Electrical Engineering, Worcester Polytechnic Institute, 1978
Recent Highlights
-
August 6, 2020Supported by an NSF Rapid Response Research award, Johns Hopkins biomedical engineers Sridevi Sarma and Raimond Winslow are creating data-driven models to ensure that COVID-19 patients in intensive care units receive optimal ventilator therapy.
-
June 17, 2019Johns Hopkins University announced 32 multidisciplinary endeavors that have been selected to receive support this year from the JHU Discovery Awards program. Seven faculty from the Department of Biomedical Engineering are part of those endeavors.
-
November 28, 2017A team led by Johns Hopkins researchers constructed a powerful new computer model that replicates the biological activity within the heart that precedes sudden cardiac death.