Summary
Yago Trias is a mechanical engineer specializing in numerical methods with three years of hands-on research experience in patient-specific CFD and finite element workflows for aortic pathology. Currently a research intern at ELEM Biotech and a master's student in Numerical Methods in Engineering, he has practical expertise in CT segmentation, GiD meshing, and Kratos Multiphysics embedded simulations applied to aortic dissection. His internships at CIMNE and Aortyx translated academic numerical methods into clinical-relevant studies, highlighting an ability to bridge theory and applied biomedical problems. Based in Barcelona, he combines strong computational skills with familiarity in the entire simulation pipeline—from imaging to mesh to solver—making him effective at turning medical imaging into predictive models. Notably, he pairs this technical focus with field experience in fast-paced environments, reflecting adaptability beyond the lab.
3 years of coding experience
High School, High School at Institut Llavaneres
UPC Universitat Politècnica de Catalunya
Spanish, English, Catalan