Personal profile

Research profile

Inge Søkilde Pedersen has been a professor of genetics at Aalborg University since 2020.

She is currently employed as the chief laboratory geneticist at the Department of Molecular Diagnostics (AFMD) at Aalborg University Hospital. Together with other departments, AFMD performs advanced diagnostics and investigations of rare genetic diseases as well as Preimplantation Genetic Testing (PGT).

Inge's primary research area is genetics with a particular focus on breast and ovarian cancer. This specifically includes the development of methods for early diagnosis and targeted treatment, aimed at improving survival rates and treatment efficacy.

She is an active participant in the research collaborations within the international consortia CIMBA and ENIGMA and is part of ENIGMA’s ClinGen-approved 'Variant Curation Expert Panel' for the classification of variants in BRCA1 and BRCA2.

Teaching profile

Inge Søkilde Pedersen has contributed to the establishment of the Clinical Laboratory Geneticist (CLG) education and is responsible for education at Aalborg University Hospital. She teaches professional colleagues and students in a wide range of topics within genetics and biochemistry. Selected topics include her teaching in molecular genetic methods and classification of genetic variants.

Additionally, Inge is the course coordinator for the course 'From Omics to Personalized Medicine,' which is a 7.5 ECTS mandatory course in the Master of Personalized Medicine program, offered in collaboration between the University of Copenhagen, Aarhus University, the University of Southern Denmark, and Aalborg University.

Ph.D. Supervision 

Inge supervises Ph.D. students with a background in both health and natural science (main supervisor for 3 and co-supervisor for 10).

Additionally, before her affiliation with Aalborg University, Inge took on the role of technical supervisor for several bachelor's and master's students from both Aalborg and Aarhus University

 

Fingerprint

The fingerprint consists of automatically generated concepts related to the associated persons. It is updated automatically, when new content is added.
  • 1 Similar Profiles

Collaborations from the last five years

Dive into details by clicking on the dots.