Computational biologist. I work on functional genomics in cancer: CRISPR-Cas9 screens, multi-omics integration, and R/Bioconductor-based analysis of high-throughput data.
Most of my recent work has been in intrahepatic cholangiocarcinoma, designing genome-wide knockout screens in patient-derived models and integrating RNA-seq, scRNA-seq, methylation arrays, proteomics, and clinical data to map epigenome dependencies.
- R / tidyverse / Bioconductor — primary analysis environment
- Bash, Git/GitHub — workflow and version control
- Python — reading fluency, limited independent writing
- Linux / HPC — day-to-day computing
jflbtools— personal R package with utility functions for omics data wrangling and visualization (cleanup underway)- In progress: LLM-assisted metadata harmonization for GEO cohorts; single-cell and spatial omics workflows
PhD in yeast genetics and R-loop biology (CABIMER, Seville). MSCA Postdoctoral Fellow at BRIC, University of Copenhagen. I also have a background in scientific illustration, including a lead designer role at a scientific illustration company, applied to grant figures, graphical abstracts, and data visualization.
Currently looking for computational roles in the Copenhagen area.