About me
I am a molecular biologist and bioinformatician with a PhD in Plant Science, specialising in molecular biology, functional genomics and computational analysis. I develop and apply reproducible workflows for the quality control, processing, integration and interpretation of complex biological datasets.
My work includes RNA-seq, ATAC-seq, ChIP-seq, Hi-C, CAGE, metagenomics and integrated multi-omics analysis. I use R, Python and Bash in Linux and HPC environments, together with Git, Snakemake and Nextflow, to develop documented, scalable and reproducible analytical workflows.
I collaborate closely with experimental researchers on study design, data quality, method selection and biological interpretation. I also provide bioinformatics guidance and training to researchers and students. My research interests include gene regulation, epigenomics, chromatin organisation, transcriptional networks and the integration of genomic, transcriptomic and proteomic data.
Research interests
- Functional genomics and transcriptional regulation
- Epigenomics and chromatin accessibility
- 3D genome organisation and enhancer regulation
- CAGE and transcription start site analysis
- Multi-omics and proteomics data integration
- Cancer biology, metabolic research and cell differentiation
- Reproducible bioinformatics workflows
Areas of expertise
- Sequencing and omics: RNA-seq, ATAC-seq, ChIP-seq, Hi-C, CAGE and metagenomics
- Data analysis: R, Python, Bash and statistical genomics
- Research computing: Linux, HPC, Git/GitHub, Snakemake and Nextflow
- Data quality: sequencing quality control, metadata, validation, documentation and reproducibility
- Collaboration and training: analysis planning, researcher support, supervision and training