School of Medicine
Showing 1-10 of 14 Results
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Meghna Patel
Clinical Assistant Professor, Pediatrics - Cardiology
Current Research and Scholarly InterestsMy current academic focus is in chronic heart failure and ventricular assist device.
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Luca Pegolotti
Postdoctoral Scholar, Cardiology
BioLuca Pegolotti is a Postdoc in the Cardiovascular Biomechanics Computation Lab led by Prof. Alison Marsden. He is interested in data-driven model order reduction techniques for cardiovascular simulations. His areas of expertise include scientific computing, high-performance computing, and deep learning.
Luca Pegolotti completed a BCs in Mathematical Engineering at Politecnico di Milano in 2014 and a MSc in Computational Science and Engineering at the École polytechnique fédérale de Lausanne (EPFL) in 2017. He graduated with a PhD in Mathematics at EPFL in 2020 under the supervision of his PhD advisor, Prof. Simone Deparis. In his thesis, "Reduction techniques for PDEs built upon Reduced Basis and Domain Decomposition Methods with applications to hemodynamics", he focuses on projection-based model order reduction methods for cardiovascular flow. -
Martin Pfaller
Instructor, Pediatrics - Cardiology
BioDr. Martin R. Pfaller is an Instructor in the Department of Pediatrics (Cardiology) in the group of Alison L. Marsden. He received his B.Sc., M.Sc., and Ph.D. in Mechanical Engineering from the Technical University of Munich, working with Wolfgang A. Wall. During his Ph.D., he validated an efficient yet physiologically accurate boundary condition to account for the mechanical support of the heart within its surroundings, which has been adopted by various research groups worldwide. He further demonstrated how projection-based model order reduction could speed up model personalization from patient data, such as magnetic resonance imaging or blood pressure measurements. His current work focuses on cardiovascular fluid dynamics. He developed reduced-physics models to make blood flow simulations faster and more reliable. Further, he developed a fluid-solid-growth interaction model in blood vessels. His future research will predict the heart’s long-term function in heart diseases, supported by an NIH Pathway to Independence Award (K99/R00) and Stanford MCHRI Instructor K Award Support. He will quantify the risk of heart failure after a heart attack with a stability analysis validated with imaging data in swine and humans. This research will improve our understanding of biomechanical mechanisms leading to heart failure and help to identify patients at risk, enable personalized therapies, and facilitate the optimal design of medical devices. As an Assistant Professor, Martin will start his own research group at Yale University in the Department of Biomedical Engineering in July 2024.
