Martin Pfaller
Assistant Professor of Biomedical Engineering
Office Address:
55 Prospect Street
New Haven, CT
06511
Mailing Address:
P.O. Box 208286
New Haven, CT
06520
Email: martin.pfaller@yale.edu
Degrees:
- Postdoc, Stanford University (Pediatrics - Cardiology)
- BSc, MSc, PhD, Technical University of Munich (Mechanical Engineering)
Interests:
Dr. Pfaller specializes in the computational modeling of the heart and cardiovascular system. He develops numerical methods for simulating the mechanical behavior of heart tissue, the fluid dynamics of blood flow, and the long-term adaptation of living tissue. His work has applications in understanding and predicting heart disease progression and optimizing medical device design.
Selected Awards & Honors:
- NIH Pathway to Independence Award (2022-2027)
- Instructor K Award Support, Stanford Maternal and Child Health Research Institute (2022-2024)
- Dissertation Award, Association of German Engineers (2019)
- Student Council Teaching Awards, Technical University of Munich (2016, 2017)
Selected Publications:
- Schwarz EL, Pfaller MR, Szafron JM, Latorre M, Lindsey SE, Breuer CK, Humphrey JD, Marsden AL. A Fluid-Solid-Growth Solver for Cardiovascular Modeling, Computer Methods in Applied Mechanics and Engineering, 2023. DOI
- Gebauer AM, Pfaller MR, Braeu FA, Cyron CJ, Wall WA. A homogenized constrained mixture model of cardiac growth and remodeling: Analyzing mechanobiological stability and reversal, Biomechanics and Modeling in Mechanobiology, 2023. DOI
- Pfaller MR, Pham J, Verma A, Pegolotti L, Wilson NM, Parker DW, Yang W, Marsden AL. Automated generation of 0D and 1D reduced-order models of patient-specific blood flow, International Journal for Numerical Methods in Biomedical Engineering, 2022. DOI (cover)
- Pfaller MR, Pham J, Wilson NM, Parker DW, Marsden AL. On the periodicity of cardiovascular fluid dynamics simulations, Annals of Biomedical Engineering, 2021. DOI
- Pfaller MR, Cruz Varona M, Lang J, Bertoglio C, Wall WA. Parametric model order reduction and its application to inverse analysis of large nonlinear coupled cardiac problems, International Journal for Numerical Methods in Biomedical Engineering, 2020. DOI
- Pfaller MR, Hörmann JM, Weigl M, Nagler A, Chabiniok R, Bertoglio C, Wall WA. The importance of the pericardium for cardiac biomechanics: From physiology to computational modeling, Biomechanics and Modeling in Mechanobiology, 2019. DOI