Biography
I am a researcher and senior bioinformatics scientist at the Department of Pathology, University of Oslo, where I work with the Jahnsen Lab. My work sits at the intersection of computational biology, statistics, and artificial intelligence, with a focus on turning complex biological and clinical data into useful insight.
I work across cancer biomarker research, molecular epidemiology, single-cell and spatial transcriptomics, spatial proteomics, microbiome data, and non-coding RNA biology. I am especially interested in early cancer detection, disease-risk modelling, and understanding how cells, tissues, and microbes interact. Much of this work involves combining longitudinal clinical data with large-scale sequencing and imaging datasets.
I enjoy building practical, reproducible tools that make advanced analyses easier to run and share. My main open-source projects are:
- Easydecon - cell-type analysis for high-definition spatial transcriptomics (project website)
- Cellsnake - a scalable workflow for single-cell RNA-seq analysis
- MirMachine - machine-learning-based microRNA annotation from genome sequences (project website)
I also develop reproducible pipelines in Python, R, and Snakemake, including the sncRNA workflow and TaME-seq. My broader interests include multimodal data integration, predictive modelling, scientific software, and making bioinformatics workflows easier for other researchers to use.
Before joining the University of Oslo, I worked at the Cancer Registry of Norway on population-based cancer studies and prediagnostic RNA biomarkers. I completed my PhD at the University of Canterbury, where I studied non-coding RNA interactions and their role in protein expression.



