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Simone Deparis is an Adjunct Professor in the Department of Mathematics at École Polytechnique Fédérale de Lausanne (EPFL). His research interests include applied mathematics, numerical analysis, and the didactics of university-level mathematics. He specializes in computational modeling for biomedical applications and innovations in mathematics education, with a focus on equity, self-efficacy, and assessment reform in large STEM cohorts. His work bridges applied mathematics and learning sciences, focusing on modeling and simulation of complex systems, particularly cardiovascular flows, using advanced numerical methods, model order reduction, and physics-informed machine learning. He also investigates teaching and learning in higher education, with an emphasis on first-year mathematics, innovative assessment practices, and the role of computational tools in fostering equity and student success.


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Simone Deparis is a researcher in scientific computing with a focus on cardiovascular simulations. Her work involves the development and analysis of numerical methods for fluid-structure interaction (FSI) problems, particularly in hemodynamics. She has contributed to the design of parallel algorithms, preconditioners, and reduced basis methods for efficient and accurate simulations of blood flow in arteries. Her research also includes the comparison of different modeling approaches, such as 3D FSI, 1D models, and rigid wall models, to assess hemodynamic indices. Her publications highlight the importance of computational modeling in understanding physiological fluid dynamics and improving medical diagnostics.

Source: google_scholar · 97 words
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