Juan Cebral

Juan Cebral is a Professor of Bioengineering and Mechanical Engineering at George Mason University (GMU). His research focuses on computational modeling of cerebral blood flow, particularly in the context of cerebral aneurysms. He holds a PhD in Computational Sciences and Informatics from GMU and an MSc in Physics from the University of Buenos Aires.

Key research interests include understanding hemodynamic factors influencing aneurysm rupture, evaluating endovascular devices like flow diverters, and translating computational models into clinical applications. He collaborates with institutions such as Inova Hospitals, Mayo Clinic, and Philips Healthcare, with funding from NIH, American Heart Association, and industrial partners.

His work bridges biomechanics, medical imaging, and clinical practice, addressing critical questions in aneurysm diagnosis, treatment, and prevention. Notable projects include studying wall vulnerability in aneurysms and optimizing flow-diverting device performance. He teaches graduate courses in Fluid Mechanics and High-Performance Computing.

Publications span over two decades, with recent emphasis on fibrin accumulation modeling, hemodynamic effects of surgical procedures, and machine learning for aneurysm rupture prediction. Awards and honors are inferred from his extensive NIH and industry support.