faculty - research|
Director of Life Science and Medicine Research; Professor of Bioengineering
Raimond “Rai” Winslow is the director of life science and medicine research at the Roux Institute. He is a world-renowned leader in computational medicine, an emerging discipline that applies mathematics, engineering, and computational science to understand human disease.
Winslow is also a professor in Northeastern’s College of Engineering, and holds appointments in the Khoury College of Computer Sciences and the Bouvé College of Health Sciences’ School of Clinical and Rehabilitation Sciences.
Big Data, better health outcomes
Winslow believes that medicine is increasingly becoming a computational discipline, and that the algorithm is becoming a valued member of the healthcare team. Big Data not only can help drive decisions and practice in medicine, but when paired with real-time health monitoring devices, it may help predict instances of stroke, septic shock, and heart attack.
His research focuses in two areas. The first is use of computational modeling to understand the molecular mechanisms of cardiac arrhythmias, or irregular heartbeats, and sudden cardiac death. The second is use of modeling methods to predict both the evolution of a patient’s health status over time and predict the onset of adverse health outcomes before they happen.
For example, Winslow has partnered with Roux Institute partner MaineHealth to analyze patient data using computational medicine to help predict negative health outcomes and better equip caregivers to deliver personalized care to patients.
Previous academic experience
Prior to the Roux Institute, Winslow worked at the Johns Hopkins University School of Medicine, in Baltimore, where he was the founding director of the Institute for Computational Medicine and served as the Raj and Neera Singh Professor of Biomedical Engineering.
He earned his PhD in biomedical engineering from The Johns Hopkins University School of Medicine and his Bachelor of Science in electrical engineering from Worcester Polytechnic Institute.
Born and raised in Maine, Winslow loves sea kayaking, the mountains and hiking, and the essence and character of Portland.
- Computational modeling of the cardiac myocyte to understand the molecular basis of arrhythmias
- machine learning in critical-care medicine to identify the patients who require urgent care
- Liu, R., Greenstein, J. L., Fackler, J. C., Bembea, M.M., Sarma, S. V., Winslow, R. L. (2020). “Spectral Clustering of Risk Score Trajectories Stratifies Sepsis Patients by Clinical Outcome and Interventions Received,” eLife, 2020;9:e58142 DOI: 10.7554/eLife.58142
- Jin Q, Greenstein JL, Winslow RL (2020). “Estimating the Probability of Cellular Arrhythmias with Simplified Statistical Models that Account for Experimentally Observed Uncertainty in Underlying Biophysical Mechanisms,” bioRxiv. 2020.
- Fackler, J.C., Rehman, M., Winslow, R. L. (2019) “Please Welcome the New Team Member: The Algorithm*.” Ped. Crit. Care Med. 20: 12; 1200-1201
- Liu, R., Greenstein, J. L., and Winslow, R. L. (2019). “Natural language processing of clinical notes for improved early prediction of septic shock in the ICU. EMBC Conference 2019: Biomedical Engineering Ranging From Wellness to Intensive Care,” Berlin, 2019
- Liu, R., Greenstein, J. L., Granite, S. J., Fackler, J. C., Bembea, M. M., Sarma, S. V., Winslow, R. L. (2019). “ShockAlert: Early Detection of Septic Shock with Risk Models based on Physiological Monitoring and Electronic Health Record Data.” Nat. Sci. Repts. 9:6145.