Dr. Ingrid Braenne

• Discovery of novel prognostic and predictive biomarkers in the field of immuno-oncology • Translation of image- and tissue-derived data into novel therapies and treatment strategies • In-depth mining and interpretation of tissue phenome, genome, transcriptome and proteome • Bioinformatics solution for validation of scientific models and hypotheses

• Gene co-expression network analysis to unravel new disease pathways • Identification of biomarkers to predict development of disease (main focus on type 1 diabetes) • Using pharmacogenomics to unravel the mechanisms of adverse effects • Identification and functional prediction of risk variants/genes for complex traits • Multi-omic data analysis

• Identification of disease-causing variants in families and case-control settings using next-generation sequencing (NGS). The main focus lies on coronary artery disease. • Genome-wide association data. • SNP-SNP interaction studies and classification on GWAS and NGS-data. • Supervising PhD students.

• Established next-generation sequencing analysis pipeline. • Identification of disease-causing variants in families and case-only studies with focus on coronary artery disease.

Thesis title: Machine Learning Methods for Genome-Wide Association Data • Working with machine learning algorithms to identify disease-specific patterns in genome-wide association data.