Research and health-tech in depth — explainable AI, biomechanics, and medical imaging — with technology leadership in sport in brief.
Explainable AI (SHAP, counterfactuals) and leakage-free machine-learning pipelines applied to clinical gait and foot-pressure data (baropodometry, optical motion capture, OptoGait, inertial sensors), to uncover interpretable biomechanical signatures of lower-limb conditions.
Researcher with UNLOC since 2024 · doctoral programme since 2025 · Supervisors: Alejandro Molina & Violeta Monasterio · PI: Luis Roche
Tech Lead for cloud-based DICOM medical image viewers processing 250K+ images/day (GDPR-compliant); CDTI-funded R&D integrating AI into the imaging pipeline for assisted diagnosis.
Applied computing to study physical activity in paediatric cancer patients.
Computing applied to occupational health.
Validation of OpenPose markerless motion capture on mobile devices for fall prediction (accepted; not pursued) — an early link between computer vision and locomotion analysis.
Digital transformation of sport and tourism.
NextGenerationEU-funded digitalization; athlete medical-follow-up and performance platforms.
I'm drawn to projects that combine technical ambition with real-world leadership and impact.
Get in Touch →