About
About True Signal
I founded True Signal to close the gap between life science research and the decisions that research is supposed to inform. Valuable biological data goes underused all the time — rarely for lack of ambition, usually for lack of someone who can take it the last mile. That last mile is the work.
I hold a PhD in immunology and infectious disease from the University of Copenhagen, taken as an industrial PhD inside LEO Pharma, so the work has been close to industry from the start. I cover the full data lifecycle: experimental design, data generation, processing, analysis and visualisation. My domain experience spans immunology, oncology, infectious disease, dermatology, vaccine research and food science. I am based in Copenhagen and collaborate with clients and domain experts globally.
What that looks like in practice
A typical engagement starts with a conversation about the decision you are trying to make. From there it might be a two-week design review before you spend money on sequencing, a full analysis of data you already hold, or rebuilding a pipeline that has quietly stopped being reproducible. I am equally comfortable being the only data person on a project and being one specialist inside a larger team.
Recent work has run from single-cell and spatial analysis through to putting language models to work on scientific data — retrieval over internal literature, and agent-based workflows that make single-cell results interpretable to people who do not read UMAPs.
What I work with
Omics & data types
- Single-cell RNA-seq
- Bulk RNA-seq
- Spatial transcriptomics
- Proteomics
- Metabolomics
- Quantitative imaging
Analysis
- Multi-omics integration
- Biomarker discovery
- Patient stratification
- Responder / non-responder analysis
- Experimental design & power
Machine learning & AI
- scikit-learn, PyTorch
- Single-cell foundation models
- Retrieval-augmented generation
- LLM and agent workflows
Pipelines
- Nextflow / nf-core
- Snakemake
- Seqera Platform
- Docker, Singularity
- Git, CI/CD
Compute
- AWS
- HPC and Slurm clusters
- Computerome
- UCloud
- DNAnexus
Clinical & regulatory
- Phase 1/2 trial data
- Translational study design
- GCP-trained
- GDPR-aware handling
Background
| PhD, Immunology & Infectious Disease | University of Copenhagen — industrial PhD at LEO Pharma, 2019–2022 |
| MSc, Food Science & Technology | University of Copenhagen, 2017–2019 |
| BEng, Food Science & Engineering | Shanghai Ocean University, 2013–2017 |
| Languages | English, Danish, Chinese |
Published work
Client and collaborator projects regularly end up in peer-reviewed journals. The most recent are below; the full list is here.
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2026
Anakinra alters epidermal tissue-resident memory T cell profiles but fails to reduce clinical responses upon nickel re-challenge in individuals with nickel allergy
Journal of Investigative Dermatology · Elsevier
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2026
Senescence profiling and biomarker identification in cell product based on adipose tissue–derived mesenchymal stromal cells
Stem Cells Translational Medicine, 15(3), szag011 · Oxford University Press
Clients
Organisations I have worked with.
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- Novo Nordisk Pharmatech
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