Presented By: Biomedical Engineering
BME 500: Alberto Figueroa
Computational Modeling Tools for Cardiovascular Disease Research, Surgical Planning and Diagnostics
NOTICE: This event will be hosted via Blue Jeans. The link will be posted below.
Blue Jeans Link: https://umich.bluejeans.com/763221545
Dr. Figueroa received his PhD in Mechanical Engineering at Stanford University, where he developed computational methods fluid structure interaction simulation of hemodynamics.
His first academic appointment was a King’s College London in the UK, where he was Senior Lecturer in the Division of Biomedical Engineering and Imaging Sciences.
Dr. Figueroa is currently the Edward B. Diethrich M.D. Professor in Biomedical Engineering and Vascular Surgery at the University of Michigan. His laboratory is focused on three main areas: 1) developing tools for advanced modeling of blood flow. His group develops the modeling software CRIMSON (www.crimson.software); 2) studying the link between abnormal biomechanical stimuli and cardiovascular diseases such as hypertension and thrombosis; 3) simulation-based surgical planning to aid with the optimal planning of cardiovascular surgeries.
Blue Jeans Link: https://umich.bluejeans.com/763221545
Dr. Figueroa received his PhD in Mechanical Engineering at Stanford University, where he developed computational methods fluid structure interaction simulation of hemodynamics.
His first academic appointment was a King’s College London in the UK, where he was Senior Lecturer in the Division of Biomedical Engineering and Imaging Sciences.
Dr. Figueroa is currently the Edward B. Diethrich M.D. Professor in Biomedical Engineering and Vascular Surgery at the University of Michigan. His laboratory is focused on three main areas: 1) developing tools for advanced modeling of blood flow. His group develops the modeling software CRIMSON (www.crimson.software); 2) studying the link between abnormal biomechanical stimuli and cardiovascular diseases such as hypertension and thrombosis; 3) simulation-based surgical planning to aid with the optimal planning of cardiovascular surgeries.
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