• To develop data-driven clinical-decision support platforms to assist with clinical care of patients with a range of musculoskeletal disorders
   

• To develop advanced matching techniques to predict health trajectory and recommend personalized treatment plan based on large-scale historic data
   

• To develop comprehensive multi-modal models to simulate treatment outcomes based on large-scale historic data

• To investigate the normal and pathologic development of joints and tissues
   

• To study the effects of intrinsic (e.g., sex, genetics) and extrinsic (e.g., physical activity) factors on joint and tissue development
   

• To study the effect of joint morphology on joint function, risk of injury and response to treatment

• To use imaging to non-invasively study tissue health and structural properties 
   

• To identify imaging biomarkers to track tissue risk of injury 
   

• To identify imaging biomarkers to track tissue remodeling and response to treatment

• To identify intrinsic and extrinsic contributors to risk of musculoskeletal injuries 
   

• To develop risk screening models to predict the risk of injuries
   

• To identify factors influencing treatment outcomes to facilitate proper treatment planning

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• To study inequality in care of children, adolescents and young adults with a range of musculoskeletal disorders  
   

• To develop tools to make musculoskeletal care more accessible, affordable and equitable among children, adolescents and young adults