My research is focused upon understanding how common genetic variation can be linked to disease with the use of multi-omic datasets and causal inference.
At UiB, I work on the NFR funded project; Intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases (INTRePID). In this project we aim to create computer methods for risk prediction and diagnosis of non-communicable diseases using multi-omics data, by developing, implementing and validating novel algorithms for structure learning and inference in large-scale, multi-organ causal Bayesian gene networks with applications in cardiovascular medicine.
- (2022). eQTLs as causal instruments for the reconstruction of hormone linked gene networks. Frontiers in Endocrinology.