Clear summaries, figures, and narrative interpretation for internal reports, publications, stakeholders, or project decisions. I help translate complex sequencing results into usable conclusions.
Development, review, and optimisation of robust workflows using tools such as Nextflow, Conda, containers, and documented command-line pipelines suitable for collaboration or publication.
Guidance on sampling design, sequencing approach, controls, analysis strategy, and interpretation risks before data generation. Good design prevents expensive downstream problems.
Independent assessment of datasets, pipelines, figures, and conclusions. I help identify contamination, bias, technical artefacts, and incorrect assumptions before they affect publications or reports.
Support with assembly, binning, taxonomic profiling, functional profiling, comparative analysis, and ecological interpretation. The focus is on separating real biological signal from noise.
Root-cause analysis of low yield, poor read quality, abnormal run behaviour, and unexpected sequencing output. I combine wet-lab awareness with bioinformatics investigation to help identify where things went wrong.
Will be updated soon!
More info coming soon!
https://ahri-itm-ua.github.io/FA5-advanced-bioinformatics-course-2026/
Our latest manuscript has now been published online: https://doi.org/10.1093/nargab/lqaf213. It represents one of the main outputs of my first postdoc at the Laukens Lab, so I am very pleased that we were able to bring this work to publication.
When I am working with Oxford Nanopore sequencing data, it is common to only need a subset of raw reads (raw signals in POD5 format): for example, reads that map to a region of interest, a shortlist of problematic reads you want to inspect, or reads you want to share with a collaborator to reproduce an issue.