My main objective is to pursue interdisciplinary and cutting-edge lines of research, particularly in the field of personalized medicine. By devoting my efforts to this exciting field, I aim to contribute to the development of innovative simulation tools that can benefit the medical community.
ABOUT ME
Personal statement
I am currently an assistant professor at Khalifa University of Science and Technology, a prestigious institution in the UAE and the Middle East region. Having pursued my higher studies following the French system in two elite institutions, Institut Préparatoire aux Etudes Scientifiques et Techniques (IPEST) and École Polytechnique de Tunisie, I embarked on an academic career. Focused on the intersection of mathematics, computational science, and biophysics, I successfully obtained my M.Sc and Ph.D in Applied Mathematics from Grenoble University in 2011. Following my doctoral studies, I held a postdoctoral position at the Mathematics Institute of Computational Science and Engineering at École Polytechnique Fédérale de Lausanne (EPFL). Subsequently, I joined the Chair of Prof. Székely at the Swiss Federal Institute of Technology Zurich (ETH Zurich) as a post-doc, before being promoted to Senior Researcher. During this time, I actively contributed to a collaborative project funded by the Swiss National Science Foundation NSF, bringing together the Computer Vision Laboratory and the Institute of Biomedical Engineering at ETH Zurich, as well as the Clinic for Cardiovascular Surgery of University Hospital Zurich. I supported the project management and developed computational tools to model the hemodynamics in the aortic root and aorta before and after aortic valve implantation. The findings allowed predictions regarding some postoperative effects of minimally invasive, trans-apical aortic valve implantation surgery. Additionally, I co-supervised several PhD, Bachelor, and Master’s students during my tenure at EPFL and ETH Zurich. Since 2019, I have been serving as an Assistant Professor in Applied Mathematics. My primary research interests revolve around mathematical modeling through PDEs, efficient numerical methodologies, software development, and validation. I possess extensive expertise in mathematically modeling various biomedical phenomena, with a particular focus on cardiovascular system modeling to address both physiological and pathological aspects at macroscopic and microscopic scales. I have developed methodologies to tackle a wide range of problems, including hemodynamics modeling in the aorta, heart valves, blood cells, multiphase flows, fluid-structure interaction, inverse problems, and PDE-constrained optimization methods. With my interdisciplinary background in mathematics, computational science, and biophysics, I strive to make impactful advancements in applied mathematics, specifically within the domain of biomedical research.