Claudia is a Rutherford Fund Fellow at HDR UK based at the University of Manchester who is passionate about making a difference to people’s lives. Her research interests are in medical computer science and specifically in the automated analysis of medical images to study musculoskeletal disorders.
The focus of her fellowship project is on developing and validating an automated computer-aided system for analysing the efficacy of knee replacement surgery. 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.
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 10 years of experience in the development and application of computational methods working within multi-disciplinary teams 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.
Claudia is a STEM Ambassador and Sciencegrrl member, 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.
In her role as Academic Tutor for the Manchester Access Programme, she provides guidance and assistance to post-16 students on writing academic assignments.