Senior Data Scientist | Computational Biology, Spatial Biology, Bioinformatics
Ph.D. Biotechnology | 27 peer-reviewed publications | Stockholm, Sweden
I work at the intersection of data science and biology. Over 15+ years I've moved across wet lab, bioinformatics, and ML, working on problems from tuberculosis adhesins to spatial transcriptomics.
Most recently: spatial biology analysis with SpatialData, multiplexed immunofluorescence, H&E image registration, and Zarr/OME-TIFF pipelines. Before that: molecular dynamics simulations of anti-microbial peptides (GROMACS) at Orebro University, drug target discovery for oomycete pathogens at KTH, and outer membrane protein characterization in Treponema pallidum at UConn Health.
| Domain | Tools |
|---|---|
| Languages | Python, R, SQL, Bash |
| ML/DL | Scikit-learn, PyTorch, TensorFlow, XGBoost |
| Spatial Biology | SpatialData, Squidpy, mIF, Zarr, OME-TIFF |
| Image Analysis | OpenCV, scikit-image, CNNs for classification |
| Bioinformatics | GROMACS, RNA-Seq, metagenomics, structural biology |
| Data Viz | Matplotlib, Seaborn, Plotly, ggplot2 |
| LLM / AI Tools | Ollama, LM Studio, HuggingFace, Gradio |
| Infrastructure | Docker, GitHub Actions |
- 6 first-author papers across computational biology, structural bioinformatics, and metagenomics
- 3 corresponding-author papers on outer membrane protein identification in bacterial pathogens
- International patent on treatment of saprolegniasis (PCT/SE2020/050468)
- Protein structure in PDB: Rv3717 amidase from M. tuberculosis (4LQ6)
Building open-source tools from my research experience, starting with GROMACS analysis pipelines and spatial biology toolkits. Check back for new repos.
Open to collaborations on computational biology, spatial omics, and ML for drug discovery.