Global biosynthetic potential of Acidobacteriota
Built a Nextflow pipeline to clean and dereplicate 19,720 Acidobacteriota MAGs from public data, and mined the result for biosynthetic gene clusters across every biome the phylum occupies.
Read moreComputational biologist, PhD | Pipelines and tools for microbial genomics
Computational biologist (PhD) working across microbiology and bioinformatics. I build reproducible pipelines and tools in R, Python, and Nextflow to make sense of large, messy biological datasets. My work covers metagenomics, transcriptomics, phylogenetics, functional annotation, and machine learning. I also work at the bench, culturing slow-growing bacteria, so I understand the data from both sides.
Reproducible Nextflow workflows for working with metagenomics data
Biosynthetic gene clusters mining at scale with antiSMASH, and BiG-SCAPE, including lineages nobody has mined before
Metagenomics, metatranscriptomics and phylogenomics. Applying statistics and machine learning to draw a conclusion from them
Cultivation of slow-growing bacteria, PCR and sequencing - I generate data as well as analyse it
Current research projects and ongoing work
Selected recent research papers and conference proceedings.
Microbial Genomics, 12(1), 001602, 2026
Nucleic Acids Research 53(D1):D678–D690, 2025
3 Biotech, 11(6), 282, 2021
Recent updates, talks, and academic activities.