I am a Sir Henry Dale Fellow and Senior Research Fellow in Translational Medical Imaging. I am passionate about making a difference to people’s lives - with a focus on translating digital healthcare solutions into clinical practice to ultimately benefit patients. 

My research interests are in the automated analysis of medical images to study, diagnose and manage musculoskeletal disorders. I use methods from computer vision, machine learning and data science to develop accurate systems for outlining and analysing structures in widely used medical images such as radiographs. 

The development and evaluation of BoneFinder, software to fully automatically outline skeletal structures in radiographs, has led to numerous national and international collaborations in the field of automated bone shape analyses applied to a range of skeletal structures such as the hips, knees and skull. 

My multidisciplinary Sir Henry Dale Fellowship project aims to develop a software tool to automatically analyse radiographic image information, clinical and patient-reported data to improve the management and outcome of knee replacement surgery, and to develop general guidance and strategies on how to bring such a tool into the clinic.

The overall goal of my research is to transform clinically collected image data into useful medical information to benefit healthcare at individual and societal levels.

Please also see my personal website for more details on my research. For more details on the 𝗕𝗼𝗻𝗲𝗙𝗶𝗻𝗱𝗲𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, please go to: https://bone-finder.com

As the Translation Lead for the Christabel Pankhurst Institute for Health Technology Research and Innovation, I focus on making research translation an integral part of health technology research, aiming to facilitate and improve the translation of research findings into benefits for society. I am delighted to have led the development of the Pankhurst Health Technology Translation Toolkit, a resource designed to help researchers and innovators navigate the complex journey from discovery to real-world impact of healthcare technologies.

• Committee member of the Royal College of Radiologists Clinical Radiology Academic Committee
• Member of the Versus Arthritis College of Experts
• Steering committee member of the World COACH Consortium
• Editorial board member for BJR Artificial Intelligence
• Translation Lead for the Christabel Pankhurst Institute for Health Technology Research and Innovation
• Business Engagement and Translation Lead for the Division of Informatics, Imaging, and Data Sciences

Translational Medical Imaging Lab

Current group members

Research staff:

• Dr Raja Ebsim
• Dr James McManus
• Mr Dominic Cullen (honorary)

PhD students:

• Mr Zhisen (Devin) Hu [primary supervisor]
• Ms Muna Kadhom [co-supervisor]
• Mr Olajide Odelanu [primary supervisor]

Former group members

Research staff:

• Dr Adrian Davison
• Dr Jon Parkinson
• Dr Peter Thompson

PhD students (completed):

• Dr Connor Robinson (2024) [co-supervisor]
• Mr Max DeSancha (2026) [primary supervisor]

Claudia is a STEM Ambassador and regularly participates in public engagement activities such as running stands at science and technology fairs or going into schools to give talks to children about studying and careers in science.

Claudia is a certified IT Specialist in Software Engineering (2002, German Chamber of Commerce and Industry). She received the BSc (2005) and the MSc (2007) degrees in Computer Science, both with distinction, from the Heinrich Heine University Düsseldorf, Germany, and the PhD (2014) degree in Medical Computer Science from the University of Manchester, U.K. Claudia has also obtained a PgC (2006) in International Business and a PgD (2007) in Business Administration from the University of the Sunshine Coast, Australia.

Her career includes over 25 years of experience in the development and application of computational methods working within multi-disciplinary teams (computer science, business, medicine/health) in both industrial and academic settings in Germany, Australia and the U.K. She has won several national and international awards including the 1st prize for the Automated Detection and Analysis for Diagnosis in Cephalometric X-ray Images at the ISBI Grand Challenge event in New York in April 2015, highlighting the state-of-the-art performance of BoneFinder. In 2019, Claudia was awarded Highly Commended at the 2019 L’Oréal-UNESCO UK & Ireland Fellowships for Women in Science programme, and in 2021 she received the Wellcome-Beit Prize for outstanding biomedical researchers. She was elected as a Fellow of the Young Academy of Europe in 2022.

To access the 𝗣𝗮𝗻𝗸𝗵𝘂𝗿𝘀𝘁 𝗛𝗲𝗮𝗹𝘁𝗵 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝗸𝗶𝘁, please visit:
https://translation-toolkit.manchester.ac.uk

For more details on the 𝗕𝗼𝗻𝗲𝗙𝗶𝗻𝗱𝗲𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, please go to:
https://bone-finder.com

To find out more about our work on Automated Hip Migration Assessment in Children with Cerebral Palsy, please visit:
https://osf.io/46gf7/