Peter Reilly

Dr. Peter Reilly is a Visiting Professor in the Department of Bioengineering at Imperial College London's Faculty of Engineering, with a dual clinical and academic role in orthopaedic surgery. He specializes in shoulder and elbow surgery, focusing on rotator cuff disease, proximal humeral fractures, and arthroplasty. He holds clinical appointments at Imperial NHS Trust (St. Mary’s and Charing Cross Hospitals) and is a Visiting Consultant at DMRC. His research integrates clinical practice with biomechanical analysis, prosthetic innovation, and healthcare economics.

• Education: MB BS from Imperial College (1994), FRCS (1998), FRCS (Orth) (2004)
• Fellowships: Nuffield Orthopaedic Centre (Oxford), British Elbow and Shoulder Society Travelling Fellowship (2006)

Research

Dr. Reilly’s work emphasizes translational research in shoulder biomechanics, prosthetic design optimization, and surgical outcomes. His studies leverage national joint registries to evaluate implant performance and cost-effectiveness. Key themes include:

• Material science of joint replacements
• Clinical outcomes of arthroplasty techniques
• Biomechanical modeling of shoulder pathologies
• Evidence-based surgical decision-making

Publications

His recent work focuses on comparing surgical approaches (e.g., reverse vs. total arthroplasty), analyzing revision rates, and exploring patient-reported outcomes. Studies often employ large dataset analyses to drive clinical practice improvements.

Awards

• Hepburn Memorial Prize (1994)
• Robert Jones Prize
• BOA Medal

Grants & Advising

As a PhD/MSc examiner and grant reviewer (e.g., ORUK), Dr. Reilly contributes to academic governance. His lab collaborations include the Musculoskeletal Medical Engineering Centre, advancing patient-specific instrumentation and robotic technologies for shoulder surgery.

Labs & Teams

Affiliated with the Musculoskeletal Medical Engineering Centre, he leads projects on intraoperative manufacturing of patient-specific surgical guides and CT-based implant migration analysis.