Michal Oskiera
PhD research scientist and bioinformatician working across microbial ecology, plant–microbe interactions, microbiome research, metagenomics, transcriptomics, NGS, and reproducible scientific computing. I develop and apply bioinformatics workflows in Linux using R, Bash, Python, and domain-specific tools. My current methodological interests include agentic AI for scientific workflows, scientific evidence processing and RAG, reproducibility, and evaluation of AI-supported research workflows.
SEEK ID: https://sandbox11.fairdomhub.org/people/13
Location:
Germany
ORCID:
https://orcid.org/0000-0003-0696-3505
Joined: 28th Sep 2026
Expertise: Not specified
Tools: Not specified
Their tagsRelated items
Modern life sciences generate data at a scale and complexity that fundamentally depend on scalable computing infrastructures and rigorous research data management. From assembling individual genomes, exploring complex microbial communities to building graph-based pangenomes, researchers today face both unprecedented opportunities and significant methodological challenges, not only in analysis, but also in how data and workflows are stored, shared, and sustained.
Programme: de.KCD summer school 2026
Public web page: https://events.hifis.net/event/3921/overview
ROR ID: https://ror.org/01f7bcy98
Department: Not specified
Country: Germany
City: Heidelberg
Web page: https://www.h-its.org
Differential Expressoion KEGG, GO, pfam
DESeq2 edgeR log2FoldChange > 1 Padj < 0.05
Submitter: Michal Oskiera
Assay type: Transcriptional Profiling
Technology type: Rna-seq
Investigation: 1 hidden item
Study: 1 hidden item
