Mohammad Sarabian: Pioneering CFD Scientist and AI Expert Driving Innovation Across Diverse Engineering Fields

Welcome to the professional website of Mohammad Sarabian, a pioneering Computational Fluid Dynamics (CFD) scientist at W.L. Gore & Associates. With a passion for pushing the boundaries of biomedical sciences and fluid mechanics, I have dedicated my career to developing cutting-edge mathematical and computational frameworks that drive innovation across diverse engineering fields.

As a CFD scientist, my primary focus is on creating state-of-the-art computational tools and deep learning models that optimize the design and performance of medical devices for treating cardiovascular and cerebrovascular diseases. By bridging the gap between computational simulations and real-world medical applications, I strive to enhance patient care and outcomes.

My expertise extends beyond my current role, having previously served as an Artificial Intelligence (AI) researcher at Origen.ai and a postdoctoral research associate at the University of Arizona’s Department of Biomedical Engineering. During these tenures, I developed groundbreaking deep-learning algorithms and reduced-order models for groundwater resource management and elucidated complex cause-effect mechanisms underlying cerebrovascular diseases through novel deep-learning frameworks integrated with medical imaging.

Throughout my academic journey, I have consistently exceeded expectations, achieving significant milestones in fluid mechanics, rheology, and the dynamics of Non-Newtonian and particle-laden flows. My research has been published in prestigious journals such as the Journal of Fluid Mechanics, IEEE Transactions on Medical Imaging, and Acta Biomaterialia, showcasing the impact and rigor of my work.

As a multifaceted researcher, I employ a combination of experimental, computational, and advanced AI methods to investigate complex phenomena. My expertise spans flow visualization techniques, large-scale three-dimensional numerical solvers, advanced parallelization techniques, and  physics-inspired AI surrogate models for complex fluid, particle-laden flows, and subsurface flows.

Explore my website to learn more about my research, publications, and contributions to the fields of biomedical sciences and fluid mechanics. I am committed to leveraging my skills and knowledge to drive advancements in patient care and inspire the next generation of researchers and clinicians.