Dr Claudia Lindner

Sir Henry Dale Research Fellow

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Overview

I am a Sir Henry Dale Fellow and Senior Research Fellow who is passionate about making a difference to people’s lives - with a focus on translating digital healthcare solutions into clinical practice. 

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. 

My multidisciplinary 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.

In my role as the Translation Lead for the Christabel Pankhurst Institute 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.

Biography

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 20 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.

Social responsibility

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.

Biology, Medicine and Health (BMH) Domains

Related information

Publications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Prizes

Prize: Election to learned society

Prize: Prize (including medals and awards)

Prize: Fellowship awarded competitively

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Impact

Impact: Technological impacts, Health and wellbeing, Economic

Impact: Health and wellbeing, Economic, Technological

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