Trauma
Medical-device technology, clinical workflows and solutions supporting trauma care.
I connect clinical needs, engineering and execution across trauma, hip and knee, cardiovascular technology, electrophysiology and arrhythmias.
A professional profile built around understanding complex technologies, supporting their adoption and translating technical detail into practical value.
Medical-device technology, clinical workflows and solutions supporting trauma care.
Implant technology, arthroplasty, wear analysis and data-driven approaches to orthopaedics.
Cardiovascular physiology, simulation, perfusion technologies and patient modelling.
Clinical technology and innovation related to arrhythmias, mapping and cardiac rhythm care.
I am a Biomedical Engineer from Madrid with international experience in medical devices, cardiovascular simulation, field engineering and applied AI. My work sits between technical understanding and real-world adoption: learning how a solution works, communicating its value and helping ensure it performs when it matters.
My academic and project background includes hip arthroplasty, implant wear, medical imaging, machine learning and medical-device design. I am especially interested in the intersection between orthopaedic and cardiovascular technologies and the people who use them.
On-site technical support, maintenance, customer training and structured troubleshooting across clinical and research environments.
Patient modelling, ECMO and CPB simulation, medical-device development, calibration, validation, demonstrations and customer support.
Medical-device management, hospital technology assessment and evaluation of imaging, laboratory and ICU equipment.
Biomedical engineering at Universidad Rey Juan Carlos and bioengineering at UC San Diego, with a focus on medical devices and cardiovascular physiology.
A selection of projects connecting data, medical devices, orthopaedics and healthcare systems.
Machine-learning models using real clinical data to explore infection risk following hip arthroplasty.
Finite-element analysis of fixation, thickness, femoral-head material and implant positioning.
Mathematical and machine-learning models related to cardiovascular physiology, ECMO and CPB.
Mechanical design, verification thinking, market analysis and regulatory considerations for a surgical stapler.
Radiation protection, risk-zone classification and patient-flow planning for nuclear medicine.
A convolutional neural network for classifying healthy, viral-pneumonia and bacterial-pneumonia images.
For conversations around medical devices, trauma, hip and knee, cardiovascular technology, electrophysiology, arrhythmias or clinical applications.