Welcome to my GitHub page! I am experienced bioinformatician with a strong background in computational genomics, statistical genetics, and data stewardship - particularly within cancer research and clinical data contexts. Focusing on design, develop and delivery of robust analytical pipelines, tools, and training programmes across academic and research environments. Collaborative scientist, passionate about reproducibility, FAIR data principles and enabling data-driven discovery.
- Computational Genomics & Bioinformatics Pipelines (Nextflow, Galaxy, nf-core)
- Cancer Genomics, GWAS/EWAS, Rare Variant & Transcriptome Analysis
- Data Stewardship, FAIR Data Principles, Data Governance
- Statistical Genetics, Machine Learning, PLINK, R
- Cloud Computing (AWS), HPC, Docker, Git, Linux
- Training & Scientific Communication
- Conway A-M, Kamieniecka K, et al. A cfDNA methylation-based tissue-of-origin classifier for cancers of unknown primary, Nature Communications. 2024;15(1):3292
- Chemi F, Kamieniecka K, et al. cfDNA methylome profiling for detection and subtyping of small cell lung cancers., Nature Cancer. 2022;3(10):1260–1270.
- Murat K, et al. EWASTools: Infinium Human Methylation BeadChip pipeline for population epigenetics integrated into Galaxy., GigaScience. 2020;9(5):giaa049.
- DaSH Fellowship: Contributor and trainer for the Data Management and Stewardship in the Life Sciences programme, part of ELIXIR-UK’s national training initiatives.
- Nextflow T7-MBD-seq workflow: Pipeline design for cfDNA methylation profiling and tissue-of-origin classification.
Feel free to reach out or connect on LinkedIn or check out my Google Scholar profile for a full list of publications!