Bio

Amir Esrafilian, PhD, focuses on computational biomechanics and mechanobiology, with an emphasis on multiscale and multiphysics modeling of the musculoskeletal system and lower-limb joints.

His work integrates musculoskeletal and finite element modelling, medical imaging, motion analysis, electromyography, and artificial intelligence to better understand human movement, joint mechanics, and the development and progression of musculoskeletal disorders such as osteoarthritis. A particular focus of his research is developing automated and data-driven computational frameworks that connect patient-specific anatomy, movement, muscle coordination, and tissue-level biomechanics.

Amir's research aims to translate advances in computational modelling and machine learning into clinically relevant tools for understanding disease mechanisms, identifying biomarkers, and supporting personalised prevention and treatment strategies.

Contact info: amires@stanford.edu