Experimental science connected to quantitative analysis
My work follows the complete path from a biological question to an interpretable result: experimental planning, molecular workflows, quality assessment, computational analysis and communication.
Molecular and experimental biology
Nucleic-acid workflows
DNA and RNA extraction, PCR and RT-qPCR, sample preparation, magnetic-bead cleanup, size selection, quantification and integrity assessment.
Microbiology
Cultivation and experimental work with bacterial and archaeal model systems, including aerobic, anaerobic and extremophilic organisms.
Biochemistry and functional assays
Cloning, recombinant protein expression, chromatographic purification, plate-reader assays, UV-based measurements and mass photometry.
Analytical workflow development
Method development
Selection, adaptation and benchmarking of experimental approaches for non-standard samples, biological systems and research questions.
Quality and troubleshooting
Definition of sample-QC criteria, identification of workflow risks, technical troubleshooting and evidence-based method selection.
Documentation and transfer
Structured protocols, ELN-based tracking, technical documentation and clear handover between experimental and analytical stages.
Sequencing and omics
Illumina sequencing
RNA-seq, differential RNA-seq, Term-seq, ChIP-seq and related short-read approaches for transcriptome and regulatory analysis.
Oxford Nanopore
DNA, plasmid, cDNA and RNA sequencing, including library strategy, workflow benchmarking, transcript-boundary analysis and long-read interpretation.
Multi-omics integration
Combination of transcriptomic, proteomic and complementary molecular datasets to identify regulatory patterns and connect changes across scales.
Data analysis and digital workflows
Statistical analysis in R
R, tidyverse, Bioconductor and DESeq2 for data transformation, statistical evaluation, visualization and biological interpretation.
Reproducible computation
Version-controlled analysis, Bash, Nextflow, Quarto and structured project organization for transparent and reusable workflows.
Reporting and knowledge transfer
Publication-quality figures, interactive Shiny applications, technical documentation, teaching and web-based scientific reporting.
R / BioconductorNextflowBashPythonSQLQuartoShinyGit