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Patryk Rygiel is a PhD candidate at the University of Twente within the Department of Electrical Engineering, Mathematics and Computer Science (EEMCS). His research interests primarily focus on Engineering, Computational Fluid Dynamics, Deep Learning, and Surrogate Modeling. Patryk has contributed to significant publications including works on point cloud-based architecture for estimating coronary artery pressure as well as advancements in medical image analysis through the application of geometric deep learning techniques. His expertise also extends to medical data applications, particularly in areas related to dentistry, coronary artery hemodynamic studies, and computer science methodologies.
Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.