I am a Senior Researcher in Bioinformatics at the University of Bergen and leader of the Systems Biology and Bioinformatics node of the Neuro-SysMed Centre for Clinical Treatment Research. My research focuses on the development and application of artificial intelligence and computational methods for precision medicine, with particular emphasis on high-dimensional immune profiling and multimodal biomedical data integration.

My work combines machine learning, statistical modelling, and systems biology approaches to analyse complex biological datasets, including next-generation sequencing data (genomics, transcriptomics, and epigenomics), circulating biomarkers, and high-dimensional single-cell technologies such as mass cytometry (CyTOF) and imaging mass cytometry (IMC). Through these approaches, I aim to identify clinically relevant molecular signatures, understand disease mechanisms, and support the development of data-driven strategies for patient stratification and treatment response prediction.

Throughout my career, I have contributed to the development of novel computational frameworks and open-source software tools applied to problems ranging from gene regulatory element prediction to liquid biopsy analysis and single-cell systems immunology. My current research increasingly focuses on AI-enabled modelling of immune states, spatial tissue organisation, and longitudinal disease trajectories across neurological diseases and cancer.

In parallel with my research activities, I am actively engaged in graduate and interdisciplinary training in computational medicine, contributing to teaching and course development within the CCBIO and Neuro-SysMed research schools. My teaching aims to bridge computational methodology and biomedical application, equipping students and clinicians with the analytical tools required for modern data-driven medicine.