Dr Claudia Lindner

Lecturer in Health Data Sciences

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Overview

Claudia is a Lecturer in Health Data Science at the University of Manchester who is passionate about making a difference to people’s lives.

She is currently developing material for a new online PGCert programme in Health Data Science with the University of Manchester Worldwide.

Her research interests are in medical computer science and specifically in the automated analysis of medical images to study musculoskeletal disorders. The goal is to transform clinically collected image data into useful medical information to benefit healthcare at individual and societal levels.

Please also see her personal wesbite for more details.

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 15 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.

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.

Research Networks and Beacons

Biology, Medicine and Health (BMH) Domains

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Activities

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Activity: Publication peer-review and editorial workPublication peer-review

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Impact

Impact: Health impacts, Economic impacts, Technological impacts

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